1930 Inference Jobs - Page 25

Who We Are Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders. Who You Are We are seeking a highly motivated Senior Data Analyst with strong technical expertise, business acumen, and strategic problem-solving abilities . In this role, you will independently own and drive analytics initiatives within the Operations team , translating data into actionable insights that improve efficiency, decision-making, and key business KPIs. You will work closely with stakeholders across Operations, Product, Data Engineering, and Business Strategy to identify opportunities for process optimization, automate decision-making, and create scalable analytics frameworks. This is a high-impact individual contributor role that requires both deep analytical skills and the ability to influence business strategy through data. What You’ll Do Drive analytics strategy: Independently own and drive key analytics initiatives in Operations, proactively identifying areas for efficiency improvements and cost optimization. Advanced analytics & measurement: Move beyond basic dashboards and leverage inferential modeling, causal analysis, and experimental design to generate actionable insights. Experimentation & testing: Design and implement A/B tests to measure the impact of operational improvements, optimizing key processes such as fraud detection, customer interactions, and compliance. Operational KPIs & business impact: Develop frameworks to measure Turnaround Time (TAT), Cost Per Transaction, SLA adherence, and other key operational metrics, ensuring data-driven decision-making. Data storytelling & visualization: Translate complex data insights into clear, actionable recommendations using visual storytelling techniques in Power BI and other visualization tools. Cross-functional collaboration: Work closely with stakeholders across Operations, Data Engineering, and Product to align analytics initiatives with business needs. Scalability & automation: Partner with Data Engineering to enhance data pipelines, data models, and automation efforts that improve efficiency and reduce manual work. Thought leadership & best practices: Drive data analysis best practices and mentor junior analysts, fostering a culture of analytical rigor and excellence. What You’ll Need 5+ years of experience in data analytics, with a focus on Operations, Business Strategy, or Process Optimization. Expertise in SQL, Python and with a strong ability to work with relational cloud databases (Redshift, BigQuery, Snowflake) and unstructured datasets. Experience designing A/B tests and experimentation frameworks to drive operational improvements. Strong statistical knowledge, including regression analysis, time-series forecasting, and causal inference modeling. Experience in operations analytics such as workforce efficiency, process optimization, risk modeling, and compliance analytics. Hands-on experience with data visualization tools (Power BI, Tableau, Looker) and the ability to present insights effectively to leadership. Ability to work independently, take ownership of projects, and influence business decisions through data-driven recommendations. Strong problem-solving skills and a proactive mindset to identify business opportunities using data Bonus Points If You Have Experience with ML/AI applications in operational efficiency (e.g., anomaly detection, predictive modeling, workforce automation). Familiarity with event-tracking frameworks and behavioral analytics. Strong data storytelling skills—can translate complex data into concise, compelling narratives. Prior experience in a fast-paced, high-growth environment with a focus on scaling data analytics. WHAT’S IN IT FOR YOU? At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.

Role As a Data Scientist, you will contribute to developing and deploying innovative AI and machine learning solutions that transform insurance operations through intelligent automation. You'll work on sophisticated models for Fraud, Waste & Abuse (FWA) detection, Intelligent Document Processing (IDP), and Agentic AI systems that power autonomous insurance workflows including underwriting, claims processing, and policy servicing. This role offers excellent opportunities for growth and learning - you'll contribute to core product development, support customer implementations, and assist with proof-of-concept development under the guidance of senior team members. Working with our advanced tech stack including LLM fine-tuning, computer vision, and multi-agent systems, you'll solve complex problems that directly impact how insurance companies operate and serve their customers. As we scale from successful startup to enterprise-level positioning, you'll develop your expertise in production machine learning, learn best practices from experienced practitioners, and contribute meaningfully to AI solutions that maintain the highest standards of accuracy, reliability, and business impact. If you're passionate about applying data science to real-world insurance challenges and want to grow your career while seeing your models transform business processes, this role offers excellent opportunities for professional development. Model Development & Implementation Develop and implement machine learning models for fraud detection, risk assessment, and anomaly detection using established algorithms and frameworks under senior guidance Build computer vision and NLP models for intelligent document processing, including document classification, OCR optimization, and automated information extraction Implement and fine-tune Large Language Models (LLMs) for insurance-specific applications, applying techniques such as LoRA, QLoRA, and PEFT to create domain-specialized solutions Develop predictive models for underwriting, claims processing, and medical risk assessment that support enhanced decision-making and operational efficiency Perform feature engineering and exploratory data analysis to identify patterns and insights that inform model development and business understanding AI Agent Development & Support Contribute to the development of autonomous AI agents for handling insurance workflows with appropriate supervision and guidance Implement agent components and workflows that support multi-agent coordination and decision-making processes Build conversational AI capabilities that can interact with users and systems to gather information and provide recommendations Support the development of intelligent decision-making systems that adapt to varying business requirements and regulatory constraints Assist with the implementation of agent monitoring, evaluation, and improvement processes Data Processing & Analysis Build and maintain data pipelines for model training, validation, and inference using modern data engineering tools and practices Implement data quality checks and validation processes that ensure model inputs meet accuracy and consistency requirements Perform comprehensive data analysis to understand data characteristics, identify quality issues, and inform model development decisions Create data visualizations and analytical reports that communicate insights to technical and business stakeholders Work with diverse data sources including structured insurance data, unstructured documents, and external data feeds Model Deployment & Monitoring Support Support model deployment processes from development through production, working with MLOps teams to ensure smooth transitions Implement model monitoring and performance tracking capabilities that detect issues and support continuous improvement Contribute to A/B testing and model evaluation frameworks that enable data-driven decisions about model performance Develop model documentation and explainability features that support business understanding and regulatory compliance Participate in model maintenance and improvement activities based on production performance and business feedback Collaboration & Learning Work closely with senior data scientists, solution architects, and software engineers to deliver high-quality technical solutions Support customer-facing activities by adapting models for specific client needs and contributing to implementation success Contribute to proof-of-concept development and technical demonstrations that Showcase Our Capabilities To Prospective Customers Participate in code reviews, technical discussions, and knowledge sharing activities that support team learning and best practices Stay current with emerging trends and techniques in AI/ML, particularly in areas relevant to insurance and autonomous agents Qualifications & Experience Academic Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related quantitative field from a recognized institution Coursework or training in machine learning, statistics, or data analysis preferred Professional Experience 3+ years of hands-on experience in data science, machine learning, or related analytical roles with demonstrated ability to develop and deploy ML models Experience with machine learning project lifecycle from data exploration through model deployment Background in applying statistical methods and machine learning algorithms to solve business problems Exposure to production ML systems, model deployment, or MLOps practices Preferred Insurance industry exposure preferred, with understanding of claims processing, underwriting, medical risk assessment, or fraud detection workflows Technical Skills Strong proficiency in Python with experience using Scikit-Learn, Pandas, NumPy, and Jupyter for data science workflows Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar libraries for model development Basic to intermediate knowledge of LLM fine-tuning, natural language processing, or computer vision techniques. Understanding of embeddings, TF-IDF, and linguistic modelling. Familiarity with OCR technologies, document processing, or computer vision libraries such as OpenCV Experience with GenAI frameworks including LangChain, Hugging Face Transformers, or vector databases Knowledge of data manipulation and analysis using SQL, big data tools, or distributed computing frameworks Understanding of MLOps concepts, version control systems, and basic cloud platform usage Communication & Collaboration Skills Strong analytical and problem-solving skills with ability to approach complex business problems systematically Good communication abilities for presenting technical findings to team members and stakeholders Collaborative mindset with willingness to learn from senior team members and contribute to team success Attention to detail and commitment to producing high-quality, reliable analytical work Enthusiasm for learning new technologies and staying current with developments in AI/ML and insurance technology How We Get Things Done At our core, we believe in building intelligent systems that transform how insurance works. We're a team of innovators who combine deep technical expertise with real-world business impact. Our guiding principles center around technical excellence, data-driven decision making, and the responsible development of AI systems that enhance human capabilities. We foster a culture of continuous learning, experimentation, and cross-functional collaboration. As we scale from startup to enterprise, we maintain our commitment to cutting-edge research while building solutions that can handle the most demanding insurance workflows globally. Championing Inclusion & Innovation We embrace the opportunity to build a team that reflects diverse perspectives and experiences. Being an equal opportunity employer means we consider qualified candidates based on merit, technical capabilities, and cultural fit, regardless of background, identity, or personal characteristics. We're committed to creating an inclusive environment where innovative thinking thrives and where every team member can contribute to our mission of transforming insurance through intelligent automation. Skills: ml,processing,python,sql,pandas,pytorch,insurance,numpy,ocr technologies,data,machine learning,data science,learning,genai frameworks,scikit-learn,tensorflow,computer vision,data analysis,natural language processing,mlops,jupyter

Role As a Data Scientist, you will contribute to developing and deploying innovative AI and machine learning solutions that transform insurance operations through intelligent automation. You'll work on sophisticated models for Fraud, Waste & Abuse (FWA) detection, Intelligent Document Processing (IDP), and Agentic AI systems that power autonomous insurance workflows including underwriting, claims processing, and policy servicing. This role offers excellent opportunities for growth and learning - you'll contribute to core product development, support customer implementations, and assist with proof-of-concept development under the guidance of senior team members. Working with our advanced tech stack including LLM fine-tuning, computer vision, and multi-agent systems, you'll solve complex problems that directly impact how insurance companies operate and serve their customers. As we scale from successful startup to enterprise-level positioning, you'll develop your expertise in production machine learning, learn best practices from experienced practitioners, and contribute meaningfully to AI solutions that maintain the highest standards of accuracy, reliability, and business impact. If you're passionate about applying data science to real-world insurance challenges and want to grow your career while seeing your models transform business processes, this role offers excellent opportunities for professional development. Model Development & Implementation Develop and implement machine learning models for fraud detection, risk assessment, and anomaly detection using established algorithms and frameworks under senior guidance Build computer vision and NLP models for intelligent document processing, including document classification, OCR optimization, and automated information extraction Implement and fine-tune Large Language Models (LLMs) for insurance-specific applications, applying techniques such as LoRA, QLoRA, and PEFT to create domain-specialized solutions Develop predictive models for underwriting, claims processing, and medical risk assessment that support enhanced decision-making and operational efficiency Perform feature engineering and exploratory data analysis to identify patterns and insights that inform model development and business understanding AI Agent Development & Support Contribute to the development of autonomous AI agents for handling insurance workflows with appropriate supervision and guidance Implement agent components and workflows that support multi-agent coordination and decision-making processes Build conversational AI capabilities that can interact with users and systems to gather information and provide recommendations Support the development of intelligent decision-making systems that adapt to varying business requirements and regulatory constraints Assist with the implementation of agent monitoring, evaluation, and improvement processes Data Processing & Analysis Build and maintain data pipelines for model training, validation, and inference using modern data engineering tools and practices Implement data quality checks and validation processes that ensure model inputs meet accuracy and consistency requirements Perform comprehensive data analysis to understand data characteristics, identify quality issues, and inform model development decisions Create data visualizations and analytical reports that communicate insights to technical and business stakeholders Work with diverse data sources including structured insurance data, unstructured documents, and external data feeds Model Deployment & Monitoring Support Support model deployment processes from development through production, working with MLOps teams to ensure smooth transitions Implement model monitoring and performance tracking capabilities that detect issues and support continuous improvement Contribute to A/B testing and model evaluation frameworks that enable data-driven decisions about model performance Develop model documentation and explainability features that support business understanding and regulatory compliance Participate in model maintenance and improvement activities based on production performance and business feedback Collaboration & Learning Work closely with senior data scientists, solution architects, and software engineers to deliver high-quality technical solutions Support customer-facing activities by adapting models for specific client needs and contributing to implementation success Contribute to proof-of-concept development and technical demonstrations that Showcase Our Capabilities To Prospective Customers Participate in code reviews, technical discussions, and knowledge sharing activities that support team learning and best practices Stay current with emerging trends and techniques in AI/ML, particularly in areas relevant to insurance and autonomous agents Qualifications & Experience Academic Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related quantitative field from a recognized institution Coursework or training in machine learning, statistics, or data analysis preferred Professional Experience 3+ years of hands-on experience in data science, machine learning, or related analytical roles with demonstrated ability to develop and deploy ML models Experience with machine learning project lifecycle from data exploration through model deployment Background in applying statistical methods and machine learning algorithms to solve business problems Exposure to production ML systems, model deployment, or MLOps practices Preferred Insurance industry exposure preferred, with understanding of claims processing, underwriting, medical risk assessment, or fraud detection workflows Technical Skills Strong proficiency in Python with experience using Scikit-Learn, Pandas, NumPy, and Jupyter for data science workflows Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar libraries for model development Basic to intermediate knowledge of LLM fine-tuning, natural language processing, or computer vision techniques. Understanding of embeddings, TF-IDF, and linguistic modelling. Familiarity with OCR technologies, document processing, or computer vision libraries such as OpenCV Experience with GenAI frameworks including LangChain, Hugging Face Transformers, or vector databases Knowledge of data manipulation and analysis using SQL, big data tools, or distributed computing frameworks Understanding of MLOps concepts, version control systems, and basic cloud platform usage Communication & Collaboration Skills Strong analytical and problem-solving skills with ability to approach complex business problems systematically Good communication abilities for presenting technical findings to team members and stakeholders Collaborative mindset with willingness to learn from senior team members and contribute to team success Attention to detail and commitment to producing high-quality, reliable analytical work Enthusiasm for learning new technologies and staying current with developments in AI/ML and insurance technology How We Get Things Done At our core, we believe in building intelligent systems that transform how insurance works. We're a team of innovators who combine deep technical expertise with real-world business impact. Our guiding principles center around technical excellence, data-driven decision making, and the responsible development of AI systems that enhance human capabilities. We foster a culture of continuous learning, experimentation, and cross-functional collaboration. As we scale from startup to enterprise, we maintain our commitment to cutting-edge research while building solutions that can handle the most demanding insurance workflows globally. Championing Inclusion & Innovation We embrace the opportunity to build a team that reflects diverse perspectives and experiences. Being an equal opportunity employer means we consider qualified candidates based on merit, technical capabilities, and cultural fit, regardless of background, identity, or personal characteristics. We're committed to creating an inclusive environment where innovative thinking thrives and where every team member can contribute to our mission of transforming insurance through intelligent automation. Skills: ml,processing,python,sql,pandas,pytorch,insurance,numpy,ocr technologies,data,machine learning,data science,learning,genai frameworks,scikit-learn,tensorflow,computer vision,data analysis,natural language processing,mlops,jupyter

Summary JOB DESCRIPTION The Sr Financial Analyst will exhibit genuine interest in solving work problems through proactively asking questions, clearly communicating and collaborating both internally and externally to grow the business. In addition, the Financial Analyst is responsible for understanding our competition and customers and showing initiative to learn and continuously improve company processes. The Sr Financial Analyst will be responsible for long term planning, financial analysis and business analysis. The Sr Financial Analyst will play an integral role in the success of the company and our clients. Duties & Responsibilities Listed in order of relevance: Financial Planning and Analysis: Develop financial statement forecasts, create and maintain financial dashboards, and perform financial analysis to support decision-making. Operational Excellence: Ensure internal controls are in place to protect the global asset base, meet enterprise planning and financial reporting requirements on a US GAAP basis, and lead fiduciary roles Business Forecasting: Develop and maintain automated forecasting processes, scorecard forecasting processes, and implement enhancements to deliver targeted precision Reporting and Analysis: Provide critical insights, serve as a financial advisor to finance leaders, and establish and maintain data integrity. Month-End Close Process: Manage the month-end close process, including reviewing ISC Key Metrics and summaries at various levels of operations. Inventory Management: Establish a consistent methodology for determining if costs contribute to the production of inventory and performing variance analysis vs AOP Standardized Reporting: Deploy standardized and digitized reporting, connect ISC EDW and Digital Finance for holistic reporting, and create standard FDS smart view pulls to validate data. Execute ISC Finance objectives, drive results, hold others accountable to their commitments, and maintain an operational excellence culture Investigate / resolve any issues or errors related to the finance side of the ERP system Month end financial responsibilities (JE’s, Accrual entries, etc) with USA entity Responsible for updating/monitoring standard costs each year for all entities and providing year-end Inventory reports Respond to change productively and handle other duties as required. Follow all company safety policies and procedures. Education & Experience Strong Excel, PowerPoint and Access skills, with particular focus on financial modeling and the use of advanced features of spreadsheets. Experience with financial modeling. High level of analytical ability and accuracy. Highly organized and ability to work on multiple projects at once. Ability to work independently and complete tasks with minimal supervision. Excellent interpersonal and organization skills required. A bachelor’s degree in accounting, finance or a related field plus 5 years or more of job-related experience; the equivalent combination of training and experience may be suitable; a CPA and/or MBA is preferred. Responsibilities KNOWLEDGE & SKILLS Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public. Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables. Proficiency in MS Office applications (MS Word, MS Excel, MS Access, MS PowerPoint, MS Outlook). Ability to read, speak, and write in English required. About Us Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.

Mandatory Skills - Gen-AI, Data Science, Python, RAG and Cloud (AWS/Azure) Secondary - Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment. Job Description More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. Experience with NLP, NLG and Large Language Models like – BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like – AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen.

Hyderabad, Telangana, India Job Type Full Time About the Role About the Role We are seeking a highly skilled and visionary Senior Embedded Systems Architect to lead the design and implementation of next-generation AI-powered embedded platforms. This role demands deep technical proficiency across embedded systems, AI model deployment, hardware–software co-design, and media-centric inference pipelines. You will architect full-stack embedded AI solutions using custom AI accelerators such as Google Coral (Edge TPU), Hailo, BlackHole (Torrent), and Kendryte, delivering real-time performance in vision, audio, and multi-sensor edge deployments. The ideal candidate brings a combination of system-level thinking, hands-on prototyping, and experience in optimizing AI workloads for edge inference. This is a high-impact role where you will influence product architecture, ML tooling, hardware integration, and platform scalability for a range of IoT and intelligent device applications. Requirements Key Responsibilities ️ System Architecture & Design Define and architect complete embedded systems for AI workloads — from sensor acquisition to real-time inference and actuation . Design multi-stage pipelines for vision/audio inference: e.g., ISP preprocessing CNN inference postprocessing. Evaluate and benchmark hardware platforms with AI accelerators (TPU/NPU/DSP) for latency, power, and throughput. Edge AI & Accelerator Integration Work with Coral, Hailo, Kendryte, Movidius, and Torrent accelerators using their native SDKs (EdgeTPU Compiler, HailoRT, etc.). Translate ML models (TensorFlow, PyTorch, ONNX) for inference on edge devices using cross-compilation , quantization , and toolchain optimization . Lead efforts in compiler flows such as TVM, XLA, Glow, and custom runtime engines. ️ Media & Sensor Processing Pipelines Architect pipelines involving camera input , ISP tuning , video codecs , audio preprocessors , or sensor fusion stacks . Integrate media frameworks such as V4L2 , GStreamer , and OpenCV into real-time embedded systems. Optimize for frame latency, buffering, memory reuse, and bandwidth constraints in edge deployments. ️ Embedded Firmware & Platform Leadership Lead board bring-up, firmware development (RTOS/Linux), peripheral interface integration, and low-power system design. Work with engineers across embedded, AI/ML, and cloud to build robust, secure, and production-ready systems. Review schematics and assist with hardware–software trade-offs, especially around compute, thermal, and memory design. Required Qualifications ‍ Education: BE/B.Tech/M.Tech in Electronics, Electrical, Computer Engineering, Embedded Systems, or related fields. Experience: Minimum 5+ years of experience in embedded systems design. Minimum 3 years of hands-on experience with AI accelerators and ML model deployment at the edge. Technical Skills Required Embedded System Design Strong C/C++, embedded Linux, and RTOS-based development experience. Experience with SoCs and MCUs such as STM32, ESP32, NXP, RK3566/3588, TI Sitara, etc. Cross-architecture familiarity: ARM Cortex-A/M, RISC-V, DSP cores. ML & Accelerator Toolchains Proficiency with ML compilers and deployment toolchains: ONNX, TFLite, HailoRT, EdgeTPU compiler, TVM, XLA . Experience with quantization , model pruning , compiler graphs , and hardware-aware profiling . Media & Peripherals Integration experience with camera modules , audio codecs , IMUs , and other digital/analog sensors . Experience with V4L2 , GStreamer , OpenCV , MIPI CSI , and ISP tuning is highly desirable. System Optimization Deep understanding of compute budgeting , thermal constraints , memory management , DMA , and low-latency pipelines . Familiarity with debugging tools: JTAG , SWD , logic analyzers , oscilloscopes , perf counters , and profiling tools. Preferred (Bonus) Skills Experience with Secure Boot , TPM , Encrypted Model Execution , or Post-Quantum Cryptography (PQC) . Familiarity with safety standards like IEC 61508 , ISO 26262 , UL 60730 . Contributions to open-source ML frameworks or embedded model inference libraries. Why Join Us? At EURTH TECHTRONICS PVT LTD , you won't just be optimizing firmware — you will architect full-stack intelligent systems that push the boundary of what's possible in embedded AI. Work on production-grade, AI-powered devices for industrial, consumer, defense, and medical applications . Collaborate with a high-performance R&D team that builds edge-first, low-power, secure, and scalable systems . Drive core architecture and set the technology direction for a fast-growing, innovation-focused organization. How to Apply Send your updated resume + GitHub/portfolio links to: jobs@eurthtech.com About the Company About EURTH TECHTRONICS PVT LTD EURTH TECHTRONICS PVT LTD is a cutting-edge Electronics Product Design and Engineering firm specializing in embedded systems, IoT solutions, and high-performance hardware development. We provide end-to-end product development services—from PCB design, firmware development, and system architecture to manufacturing and scalable deployment. With deep expertise in embedded software, signal processing, AI-driven edge computing, RF communication, and ultra-low-power design, we build next-generation industrial automation, consumer electronics, and smart infrastructure solutions. Our Core Capabilities Embedded Systems & Firmware Engineering – Architecting robust, real-time embedded solutions with RTOS, Linux, and MCU/SoC-based firmware. IoT & Wireless Technologies – Developing LoRa, BLE, Wi-Fi, UWB, and 5G-based connected solutions for industrial and smart city applications. Hardware & PCB Design – High-performance PCB layout, signal integrity optimization, and design for manufacturing (DFM/DFA). Product Prototyping & Manufacturing – Accelerating concept-to-market with rapid prototyping, design validation, and scalable production. AI & Edge Computing – Implementing real-time AI/ML on embedded devices for predictive analytics, automation, and security. Security & Cryptography – Integrating post-quantum cryptography, secure boot, and encrypted firmware updates. Our Industry Impact ✅ IoT & Smart Devices – Powering the next wave of connected solutions for industrial automation, logistics, and smart infrastructure. ✅ Medical & Wearable Tech – Designing low-power biomedical devices with precision sensor fusion and embedded intelligence. ✅ Automotive & Industrial Automation – Developing AI-enhanced control systems, predictive maintenance tools, and real-time monitoring solutions. ✅ Scalable Enterprise & B2B Solutions – Delivering custom embedded hardware and software tailored to OEMs, manufacturers, and system integrators. Our Vision We are committed to advancing technology and innovation in embedded product design. With a focus on scalability, security, and efficiency, we empower businesses with intelligent, connected, and future-ready solutions. We currently cater to B2B markets, offering customized embedded development services, with a roadmap to expand into direct-to-consumer (B2C) solutions.

About the Role: Grade Level (for internal use): 12 The Team: As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will spearhead the design and delivery of robust, scalable ML infrastructure and pipelines that power natural language understanding, data extraction, information retrieval, and data sourcing solutions for S&P Global. You will define AI/ML engineering best practices, mentor fellow engineers and data scientists, and drive production-ready AI products from ideation through deployment. You’ll thrive in a (truly) global team that values thoughtful risk-taking and self-initiative. What’s in it for you: Be part of a global company and build solutions at enterprise scale Lead and grow a technically strong ML engineering function Collaborate on and solve high-complexity, high-impact problems Shape the engineering roadmap for emerging AI/ML capabilities (including GenAI integrations) Key Responsibilities: Architect, develop, and maintain production-ready data acquisition, transformation, and ML pipelines (batch & streaming) Serve as a hands-on lead-writing code, conducting reviews, and troubleshooting to extend and operate our data platforms Apply best practices in data modeling, ETL design, and pipeline orchestration using cloud-native solutions Establish CI/CD and MLOps workflows for model training, validation, deployment, monitoring, and rollback Integrate GenAI components-LLM inference endpoints, embedding stores, prompt services-into broader ML systems Mentor and guide engineers and data scientists; foster a culture of craftsmanship and continuous improvement Collaborate with cross-functional stakeholders (Data Science, Product, IT) to align on requirements, timelines, and SLAs What We’re Looking For: 8-12 years' professional software engineering experience with a strong MLOps focus Expert in Python and Apache for large-scale data processing Deep experience deploying and operating ML pipelines on AWS or GCP Hands-on proficiency with container/orchestration tooling Solid understanding of the full ML model lifecycle and CI/CD principles Skilled in streaming and batch ETL design (e.g., Airflow, Dataflow) Strong OOP design patterns, Test-Driven Development, and enterprise system architecture Advanced SQL skills (big-data variants a plus) and comfort with Linux/bash toolsets Familiarity with version control (Git, GitHub, or Azure DevOps) and code review processes Excellent problem-solving, debugging, and performance-tuning abilities Ability to communicate technical change clearly to non-technical audiences Nice to have: Redis, Celery, SQS and Lambda based event driven pipelines Prior work integrating LLM services (OpenAI, Anthropic, etc.) at scale Experience with Apache Avro and Apache Familiarity with Java and/or .NET Core (C#) What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- IFTECH103.2 - Middle Management Tier II (EEO Job Group) Job ID: 317386 Posted On: 2025-06-30 Location: Gurgaon, Haryana, India

Hyderabad, Telangana, India Job Type Full Time About the Role About the Role We are looking for a hands-on and technically proficient Embedded Software Team Lead to drive the development of intelligent edge systems that combine embedded firmware, machine learning inference, and hardware acceleration. This role is perfect for someone who thrives at the intersection of real-time firmware design, AI model deployment, and hardware-software co-optimization. You will lead a team delivering modular, scalable, and efficient firmware pipelines that run quantized ML models on accelerators like Hailo, Coral, Torrent (BlackHole), Kendryte, and other emerging chipsets. Your focus will include model runtime integration, low-latency sensor processing, OTA-ready firmware stacks, and CI/CD pipelines for embedded products at scale Requirements Key Responsibilities Technical Leadership & Planning Own the firmware lifecycle across multiple AI-based embedded product lines. Define system and software architecture in collaboration with hardware, ML, and cloud teams. Lead sprint planning, code reviews, performance debugging, and mentor junior engineers. ️ ML Model Deployment & Runtime Integration Collaborate with ML engineers to port, quantize, and deploy models using TFLite , ONNX , or HailoRT . Build runtime pipelines that connect model inference with real-time sensor data (vision, IMU, acoustic). Optimize memory and compute flows for edge model execution under power/bandwidth constraints. Firmware Development & Validation Build production-grade embedded stacks using RTOS (FreeRTOS/Zephyr) or embedded Linux . Implement secure bootloaders, OTA update mechanisms, and encrypted firmware interfaces. Interface with a variety of peripherals including cameras, IMUs, analog sensors, and radios (BLE/Wi-Fi/LoRa). ️ CI/CD, DevOps & Tooling for Embedded Set up and manage CI/CD pipelines for firmware builds, static analysis, and validation. Integrate Docker-based toolchains, hardware-in-loop (HIL) testing setups, and simulators/emulators. Ensure codebase quality, maintainability, and test coverage across the embedded stack. Required Qualifications ‍ Education: BE/B.Tech/M.Tech in Embedded Systems, Electronics, Computer Engineering, or related fields. Experience: Minimum 4+ years of embedded systems experience. Minimum 2 years in a technical lead or architect role. Hands-on experience in ML model runtime optimization and embedded system integration. Technical Skills Required Embedded Development & Tools Expert-level C/C++ , hands-on with RTOS and Yocto-based Linux . Proficient with toolchains like GCC/Clang, OpenOCD, JTAG/SWD, Logic Analyzers. Familiarity with OTA , bootloaders , and memory management (heap/stack analysis, linker scripts). ML Model Integration Proficiency in TFLite , ONNX Runtime , HailoRT , or EdgeTPU runtimes . Experience with model conversion, quantization (INT8, FP16), runtime optimization. Ability to read/modify model graphs and connect to inference APIs. Connectivity & Peripherals Working knowledge of BLE, Wi-Fi, LoRa, RS485 , USB, and CAN protocols. Integration of camera modules , MIPI CSI , IMUs , and custom analog sensors . ️ DevOps for Embedded Hands-on with GitLab/GitHub CI, Docker, and containerized embedded builds. Build system expertise: CMake , Make , Bazel , or Yocto preferred. Experience in automated firmware testing (HIL, unit, integration). Preferred (Bonus) Skills Familiarity with machine vision pipelines , ISP tuning , or video/audio codec integration . Prior work on battery-operated devices , energy-aware scheduling , or deep sleep optimization . Contributions to embedded ML open-source projects or model deployment tools. Why Join Us? At EURTH TECHTRONICS PVT LTD , we go beyond firmware—we’re designing and deploying embedded intelligence on every device, from industrial gateways to smart consumer wearables. Build and lead teams working on cutting-edge real-time firmware + ML integration . Work on full-stack embedded ML systems using the latest AI accelerators and embedded chipsets . Drive product-ready, scalable software platforms that power IoT, defense, medical , and consumer electronics . How to Apply Send your updated resume + GitHub/portfolio links to: jobs@eurthtech.com About the Company About EURTH TECHTRONICS PVT LTD EURTH TECHTRONICS PVT LTD is a cutting-edge Electronics Product Design and Engineering firm specializing in embedded systems, IoT solutions, and high-performance hardware development. We provide end-to-end product development services—from PCB design, firmware development, and system architecture to manufacturing and scalable deployment. With deep expertise in embedded software, signal processing, AI-driven edge computing, RF communication, and ultra-low-power design, we build next-generation industrial automation, consumer electronics, and smart infrastructure solutions. Our Core Capabilities Embedded Systems & Firmware Engineering – Architecting robust, real-time embedded solutions with RTOS, Linux, and MCU/SoC-based firmware. IoT & Wireless Technologies – Developing LoRa, BLE, Wi-Fi, UWB, and 5G-based connected solutions for industrial and smart city applications. Hardware & PCB Design – High-performance PCB layout, signal integrity optimization, and design for manufacturing (DFM/DFA). Product Prototyping & Manufacturing – Accelerating concept-to-market with rapid prototyping, design validation, and scalable production. AI & Edge Computing – Implementing real-time AI/ML on embedded devices for predictive analytics, automation, and security. Security & Cryptography – Integrating post-quantum cryptography, secure boot, and encrypted firmware updates. Our Industry Impact ✅ IoT & Smart Devices – Powering the next wave of connected solutions for industrial automation, logistics, and smart infrastructure. ✅ Medical & Wearable Tech – Designing low-power biomedical devices with precision sensor fusion and embedded intelligence. ✅ Automotive & Industrial Automation – Developing AI-enhanced control systems, predictive maintenance tools, and real-time monitoring solutions. ✅ Scalable Enterprise & B2B Solutions – Delivering custom embedded hardware and software tailored to OEMs, manufacturers, and system integrators. Our Vision We are committed to advancing technology and innovation in embedded product design. With a focus on scalability, security, and efficiency, we empower businesses with intelligent, connected, and future-ready solutions. We currently cater to B2B markets, offering customized embedded development services, with a roadmap to expand into direct-to-consumer (B2C) solutions.

Hyderabad, Telangana, India Job Type Full Time About the Role About the Role We are seeking a passionate and skilled Embedded ML Engineer to work on cutting-edge ML inference pipelines for low-power, real-time embedded platforms. You will help design and deploy highly efficient ML models on custom hardware accelerators like Hailo, Coral (Edge TPU), Kendryte K210, and Torrent/BlackHole in real-world IoT systems. This role combines model optimization, embedded firmware development, and toolchain management. You will be responsible for translating large ML models into efficient quantized versions, benchmarking them on custom hardware, and integrating them with embedded firmware pipelines that interact with real-world sensors and peripherals. Requirements Key Responsibilities ML Model Optimization & Conversion Convert, quantize, and compile models built in TensorFlow, PyTorch , or ONNX to hardware-specific formats. Work with compilers and deployment frameworks like TFLite , HailoRT , EdgeTPU Compiler , TVM , or ONNX Runtime . Use techniques such as post-training quantization , pruning , distillation , and model slicing . ️ Embedded Integration & Inference Deployment Integrate ML runtimes in C/C++ or Python into firmware stacks built on RTOS or embedded Linux . Handle real-time sensor inputs (camera, accelerometer, microphone) and pass them through inference engines. Manage memory, DMA transfers, inference buffers, and timing loops for deterministic behavior. Benchmarking & Performance Tuning Profile and optimize models for latency, memory usage, compute load , and power draw . Work with runtime logs, inference profilers, and vendor SDKs to squeeze maximum throughput on edge hardware. Conduct accuracy vs performance trade-off studies for different model variants. Testing & Validation Design unit, integration, and hardware-in-loop (HIL) tests to validate model execution on actual devices. Collaborate with hardware and firmware teams to debug runtime crashes, inference failures, and edge cases. Build reproducible benchmarking scripts and test data pipelines. Required Qualifications ‍ Education: BE/B.Tech/M.Tech in Electronics, Embedded Systems, Computer Science, or related disciplines. Experience: 2–4 years in embedded ML, edge AI, or firmware development with ML inference integration. Technical Skills Required Embedded Firmware & Runtime Strong experience in C/C++ , basic Python scripting. Experience with RTOS (FreeRTOS, Zephyr) or embedded Linux. Understanding of memory-mapped I/O, ring buffers, circular queues, and real-time execution cycles. ML Model Toolchains Experience with TensorFlow Lite , ONNX Runtime , HailoRT , EdgeTPU , uTensor , or TinyML . Knowledge of quantization-aware training or post-training quantization techniques. Familiarity with model conversion pipelines and hardware-aware model profiling. Media & Sensor Stack Ability to work with input/output streams from cameras , IMUs , microphones , etc. Experience integrating inference with V4L2, GStreamer, or custom ISP preprocessors is a plus. Tooling & Debugging Git, Docker, cross-compilation toolchains (Yocto, CMake). Debugging with SWD/JTAG, GDB, or serial console-based logging. Profiling with memory maps, timing charts, and inference logs. Preferred (Bonus) Skills Previous work with low-power vision devices , audio keyword spotting , or sensor fusion ML . Familiarity with edge security (encrypted models, secure firmware pipelines). Hands-on with simulators/emulators for ML testing (Edge Impulse, Hailo’s HEF emulator, etc.). Participation in TinyML forums , open-source ML toolkits, or ML benchmarking communities. Why Join Us? At EURTH TECHTRONICS PVT LTD , we're not just building IoT firmware—we're deploying machine learning intelligence on ultra-constrained edge platforms , powering real-time decisions at the edge. Get exposure to full-stack embedded ML pipelines — from model quantization to runtime integration. Work with a world-class team focused on ML efficiency, power optimization, and embedded system scalability .️ Contribute to mission-critical products used in industrial automation, medical wearables, smart infrastructure , and more. How to Apply Send your updated resume + GitHub/portfolio links to: jobs@eurthtech.com About the Company About EURTH TECHTRONICS PVT LTD EURTH TECHTRONICS PVT LTD is a cutting-edge Electronics Product Design and Engineering firm specializing in embedded systems, IoT solutions, and high-performance hardware development. We provide end-to-end product development services—from PCB design, firmware development, and system architecture to manufacturing and scalable deployment. With deep expertise in embedded software, signal processing, AI-driven edge computing, RF communication, and ultra-low-power design, we build next-generation industrial automation, consumer electronics, and smart infrastructure solutions. Our Core Capabilities Embedded Systems & Firmware Engineering – Architecting robust, real-time embedded solutions with RTOS, Linux, and MCU/SoC-based firmware. IoT & Wireless Technologies – Developing LoRa, BLE, Wi-Fi, UWB, and 5G-based connected solutions for industrial and smart city applications. Hardware & PCB Design – High-performance PCB layout, signal integrity optimization, and design for manufacturing (DFM/DFA). Product Prototyping & Manufacturing – Accelerating concept-to-market with rapid prototyping, design validation, and scalable production. AI & Edge Computing – Implementing real-time AI/ML on embedded devices for predictive analytics, automation, and security. Security & Cryptography – Integrating post-quantum cryptography, secure boot, and encrypted firmware updates. Our Industry Impact ✅ IoT & Smart Devices – Powering the next wave of connected solutions for industrial automation, logistics, and smart infrastructure. ✅ Medical & Wearable Tech – Designing low-power biomedical devices with precision sensor fusion and embedded intelligence. ✅ Automotive & Industrial Automation – Developing AI-enhanced control systems, predictive maintenance tools, and real-time monitoring solutions. ✅ Scalable Enterprise & B2B Solutions – Delivering custom embedded hardware and software tailored to OEMs, manufacturers, and system integrators. Our Vision We are committed to advancing technology and innovation in embedded product design. With a focus on scalability, security, and efficiency, we empower businesses with intelligent, connected, and future-ready solutions. We currently cater to B2B markets, offering customized embedded development services, with a roadmap to expand into direct-to-consumer (B2C) solutions.

About the Role: Grade Level (for internal use): 09 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will build and maintain enterprise‐scale data extraction, automation, and ML model deployment pipelines that power data sourcing and information retrieval solutions for S&P Global. You will learn to design resilient, production-ready systems in an AWS-based ecosystem while leading by example in a highly engaging, global environment that encourages thoughtful risk-taking and self-initiative. What’s in it for you: Be part of a global company and deliver solutions at enterprise scale Collaborate with a hands-on, technically strong team (including leadership) Solve high-complexity, high-impact problems end-to-end Build, test, deploy, and maintain production-ready pipelines from ideation through deployment Responsibilities: Develop, deploy, and operate data extraction and automation pipelines in production Integrate and deploy machine learning models into those pipelines (e.g., inference services, batch scoring) Lead critical stages of the data engineering lifecycle, including: End-to-end delivery of complex extraction, transformation, and ML deployment projects Scaling and replicating pipelines on AWS (EKS, ECS, Lambda, S3, RDS) Designing and managing DataOps processes, including Celery/Redis task queues and Airflow orchestration Implementing robust CI/CD pipelines on Azure DevOps (build, test, deployment, rollback) Writing and maintaining comprehensive unit, integration, and end-to-end tests (pytest, coverage) Strengthen data quality, reliability, and observability through logging, metrics, and automated alerts Define and evolve platform standards and best practices for code, testing, and deployment Document architecture, processes, and runbooks to ensure reproducibility and smooth hand-offs Partner closely with data scientists, ML engineers, and product teams to align on requirements, SLAs, and delivery timelines Technical Requirements: Expert proficiency in Python, including building extraction libraries and RESTful APIs Hands-on experience with task queues and orchestration: Celery, Redis, Airflow Strong AWS expertise: EKS/ECS, Lambda, S3, RDS/DynamoDB, IAM, CloudWatch Containerization and orchestration: Docker (mandatory), basic Kubernetes (preferred) Proven experience deploying ML models to production (e.g., SageMaker, ECS, Lambda endpoints) Proficient in writing tests (unit, integration, load) and enforcing high coverage Solid understanding of CI/CD practices and hands-on experience with Azure DevOps pipelines Familiarity with SQL and NoSQL stores for extracted data (e.g., PostgreSQL, MongoDB) Strong debugging, performance tuning, and automation skills Openness to evaluate and adopt emerging tools and languages as needed Good to have: Master's or Bachelor's degree in Computer Science, Engineering, or related field 2-6 years of relevant experience in data engineering, automation, or ML deployment Prior contributions on GitHub, technical blogs, or open-source projects Basic familiarity with GenAI model integration (calling LLM or embedding APIs) What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 317425 Posted On: 2025-07-01 Location: Gurgaon, Haryana, India

About the Role: Grade Level (for internal use): 10 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team, you will design, build, and optimize enterprise‐scale data extraction, automation, and ML model deployment pipelines that power data sourcing and information retrieval solutions for S&P Global. You will help define architecture standards, mentor junior engineers, and champion best practices in an AWS-based ecosystem. You’ll lead by example in a highly engaging, global environment that values thoughtful risk-taking and self-initiative. What’s in it for you: Drive solutions at enterprise scale within a global organization Collaborate with and coach a hands-on, technically strong team (including junior and mid-level engineers) Solve high-complexity, high-impact problems from end to end Shape the future of our data platform-build, test, deploy, and maintain production-ready pipelines Responsibilities: Architect, develop, and operate robust data extraction and automation pipelines in production Integrate, deploy, and scale ML models within those pipelines (real-time inference and batch scoring) Lead full lifecycle delivery of complex data projects, including: Designing cloud-native ETL/ELT and ML deployment architectures on AWS (EKS/ECS, Lambda, S3, RDS/DynamoDB) Implementing and maintaining DataOps processes with Celery/Redis task queues, Airflow orchestration, and Terraform IaC Establishing and enforcing CI/CD pipelines on Azure DevOps (build, test, deploy, rollback) with automated quality gates Writing and maintaining comprehensive test suites (unit, integration, load) using pytest and coverage tools Optimize data quality, reliability, and performance through monitoring, alerting (CloudWatch, Prometheus/Grafana), and automated remediation Define-and continuously improve-platform standards, coding guidelines, and operational runbooks Conduct code reviews, pair programming sessions, and provide technical mentorship Partner with data scientists, ML engineers, and product teams to translate requirements into scalable solutions, meet SLAs, and ensure smooth hand-offs Technical Requirements: 4-8 years' hands-on experience in data engineering, with proven track record on critical projects Expert in Python for building extraction libraries, RESTful APIs, and automation scripts Deep AWS expertise: EKS/ECS, Lambda, S3, RDS/DynamoDB, IAM, CloudWatch, and Terraform Containerization and orchestration: Docker (mandatory) and Kubernetes (advanced) Proficient with task queues and orchestration frameworks: Celery, Redis, Airflow Demonstrable experience deploying ML models at scale (SageMaker, ECS/Lambda endpoints) Strong CI/CD background on Azure DevOps; skilled in pipeline authoring, testing, and rollback strategies Advanced testing practices: unit, integration, and load testing; high coverage enforcement Solid SQL and NoSQL database skills (PostgreSQL, MongoDB) and data modeling expertise Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack) Excellent debugging, performance-tuning, and automation capabilities Openness to evaluate and adopt emerging tools, languages, and frameworks Good to have: Master's or Bachelor's degree in Computer Science, Engineering, or a related field Prior contributions to open-source projects, GitHub repos, or technical publications Experience with infrastructure as code beyond Terraform (e.g., CloudFormation, Pulumi) Familiarity with GenAI model integration (calling LLM or embedding APIs) What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 317427 Posted On: 2025-07-01 Location: Gurgaon, Haryana, India

We are seeking a visionary and highly skilled AI Architect to join our leadership team. This pivotal role will be responsible for defining and implementing the end-to-end architecture for deploying our machine learning models, including advanced Generative AI and LLM solutions, into production. You will lead and mentor a talented cross-functional team of Data Scientists, Backend Developers, and DevOps Engineers, fostering a culture of innovation, technical excellence, and operational efficiency. Key responsibilities: Architectural Leadership: Design, develop, and own the scalable, secure, and reliable end-to-end architecture for deploying and serving ML models, with a strong focus on real-time inference and high availability. Lead the strategy and implementation of the in-house API wrapper infrastructure for exposing ML models to internal and external customers. Define architectural patterns, best practices, and governance for MLOps, ensuring robust CI/CD pipelines, model versioning, monitoring, and automated retraining. Evaluate and select the optimal technology stack (cloud services, open-source frameworks, tools) for our ML serving infrastructure, balancing performance, cost, and maintainability. Team Leadership & Mentorship: Lead, mentor, and inspire a diverse team of Data Scientists, Backend Developers, and DevOps Engineers, guiding them through complex architectural decisions and technical challenges. Foster a collaborative environment that encourages knowledge sharing, continuous learning, and innovation across teams. Drive technical excellence, code quality, and adherence to engineering best practices within the teams. Generative AI & LLM Expertise: Architect and implement solutions for deploying Large Language Models (LLMs), including strategies for efficient inference, prompt engineering, and context management. Drive the adoption and integration of techniques like Retrieval Augmented Generation (RAG) to enhance LLM capabilities with proprietary and up-to-date information. Develop strategies for fine-tuning LLMs for specific downstream tasks and domain adaptation, ensuring efficient data pipelines and experimentation frameworks. Stay abreast of the latest advancements in AI , particularly in Generative AI, foundation models, and emerging MLOps tools, and evaluate their applicability to our business needs. Collaboration & Cross-Functional Impact: Collaborate closely with Data Scientists to understand model requirements, optimize models for production, and integrate them seamlessly into the serving infrastructure. Partner with Backend Developers to build robust, secure, and performant APIs that consume and serve ML predictions. Work hand-in-hand with DevOps Engineers to automate deployment, monitoring, scaling, and operational excellence of the AI infrastructure. Communicate complex technical concepts and architectural decisions effectively to both technical and non-technical stakeholders. Requirements (Qualifications/Experience/Competencies) Education: Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related quantitative field. Experience: 10+ years of progressive experience in software engineering, with at least 5+ years in an Architect or Lead role. Proven experience leading and mentoring cross-functional engineering teams (Data Scientists, Backend Developers, DevOps). Demonstrated experience in designing, building, and deploying scalable, production-grade ML model serving infrastructure from the ground up. Technical Skills: Deep expertise in MLOps principles and practices , including model versioning, serving, monitoring, and CI/CD for ML. Strong proficiency in Python and experience with relevant web frameworks (e.g., FastAPI, Flask ) for API development. Expertise in containerization technologies (Docker) and container orchestration (Kubernetes) for large-scale deployments. Hands-on experience with at least one major cloud platform (AWS, Google Cloud, Azure) and their AI/ML services (e.g., SageMaker, Vertex AI, Azure ML). Demonstrable experience with Large Language Models (LLMs) , including deployment patterns, prompt engineering, and fine-tuning methodologies. Practical experience implementing and optimizing Retrieval Augmented Generation (RAG) systems. Familiarity with distributed systems, microservices architecture, and API design best practices. Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack, Datadog). Knowledge of infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation). Leadership & Soft Skills: Exceptional leadership, mentorship, and team-building abilities. Strong analytical and problem-solving skills, with a track record of driving complex technical initiatives to completion. Excellent communication (verbal and written) and interpersonal skills, with the ability to articulate technical concepts to diverse audiences. Strategic thinker with the ability to align technical solutions with business objectives. Proactive, self-driven, and continuously learning mindset. Bonus Points: Experience with specific ML serving frameworks like BentoML, KServe/KFServing, TensorFlow Serving, TorchServe, or NVIDIA Triton Inference Server. Contributions to open-source MLOps or AI projects. Experience with data governance, data security, and compliance in an AI context.

About the Role: Grade Level (for internal use): 12 The Team: As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will spearhead the design and delivery of robust, scalable ML infrastructure and pipelines that power natural language understanding, data extraction, information retrieval, and data sourcing solutions for S&P Global. You will define AI/ML engineering best practices, mentor fellow engineers and data scientists, and drive production-ready AI products from ideation through deployment. You’ll thrive in a (truly) global team that values thoughtful risk-taking and self-initiative. What’s in it for you: Be part of a global company and build solutions at enterprise scale Lead and grow a technically strong ML engineering function Collaborate on and solve high-complexity, high-impact problems Shape the engineering roadmap for emerging AI/ML capabilities (including GenAI integrations) Key Responsibilities: Architect, develop, and maintain production-ready data acquisition, transformation, and ML pipelines (batch & streaming) Serve as a hands-on lead-writing code, conducting reviews, and troubleshooting to extend and operate our data platforms Apply best practices in data modeling, ETL design, and pipeline orchestration using cloud-native solutions Establish CI/CD and MLOps workflows for model training, validation, deployment, monitoring, and rollback Integrate GenAI components-LLM inference endpoints, embedding stores, prompt services-into broader ML systems Mentor and guide engineers and data scientists; foster a culture of craftsmanship and continuous improvement Collaborate with cross-functional stakeholders (Data Science, Product, IT) to align on requirements, timelines, and SLAs What We’re Looking For: 8-12 years' professional software engineering experience with a strong MLOps focus Expert in Python and Apache for large-scale data processing Deep experience deploying and operating ML pipelines on AWS or GCP Hands-on proficiency with container/orchestration tooling Solid understanding of the full ML model lifecycle and CI/CD principles Skilled in streaming and batch ETL design (e.g., Airflow, Dataflow) Strong OOP design patterns, Test-Driven Development, and enterprise system architecture Advanced SQL skills (big-data variants a plus) and comfort with Linux/bash toolsets Familiarity with version control (Git, GitHub, or Azure DevOps) and code review processes Excellent problem-solving, debugging, and performance-tuning abilities Ability to communicate technical change clearly to non-technical audiences Nice to have: Redis, Celery, SQS and Lambda based event driven pipelines Prior work integrating LLM services (OpenAI, Anthropic, etc.) at scale Experience with Apache Avro and Apache Familiarity with Java and/or .NET Core (C#) What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- IFTECH103.2 - Middle Management Tier II (EEO Job Group) Job ID: 317386 Posted On: 2025-06-30 Location: Gurgaon, Haryana, India

About the Role: Grade Level (for internal use): 10 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team, you will design, build, and optimize enterprise‐scale data extraction, automation, and ML model deployment pipelines that power data sourcing and information retrieval solutions for S&P Global. You will help define architecture standards, mentor junior engineers, and champion best practices in an AWS-based ecosystem. You’ll lead by example in a highly engaging, global environment that values thoughtful risk-taking and self-initiative. What’s in it for you: Drive solutions at enterprise scale within a global organization Collaborate with and coach a hands-on, technically strong team (including junior and mid-level engineers) Solve high-complexity, high-impact problems from end to end Shape the future of our data platform-build, test, deploy, and maintain production-ready pipelines Responsibilities: Architect, develop, and operate robust data extraction and automation pipelines in production Integrate, deploy, and scale ML models within those pipelines (real-time inference and batch scoring) Lead full lifecycle delivery of complex data projects, including: Designing cloud-native ETL/ELT and ML deployment architectures on AWS (EKS/ECS, Lambda, S3, RDS/DynamoDB) Implementing and maintaining DataOps processes with Celery/Redis task queues, Airflow orchestration, and Terraform IaC Establishing and enforcing CI/CD pipelines on Azure DevOps (build, test, deploy, rollback) with automated quality gates Writing and maintaining comprehensive test suites (unit, integration, load) using pytest and coverage tools Optimize data quality, reliability, and performance through monitoring, alerting (CloudWatch, Prometheus/Grafana), and automated remediation Define-and continuously improve-platform standards, coding guidelines, and operational runbooks Conduct code reviews, pair programming sessions, and provide technical mentorship Partner with data scientists, ML engineers, and product teams to translate requirements into scalable solutions, meet SLAs, and ensure smooth hand-offs Technical Requirements: 4-8 years' hands-on experience in data engineering, with proven track record on critical projects Expert in Python for building extraction libraries, RESTful APIs, and automation scripts Deep AWS expertise: EKS/ECS, Lambda, S3, RDS/DynamoDB, IAM, CloudWatch, and Terraform Containerization and orchestration: Docker (mandatory) and Kubernetes (advanced) Proficient with task queues and orchestration frameworks: Celery, Redis, Airflow Demonstrable experience deploying ML models at scale (SageMaker, ECS/Lambda endpoints) Strong CI/CD background on Azure DevOps; skilled in pipeline authoring, testing, and rollback strategies Advanced testing practices: unit, integration, and load testing; high coverage enforcement Solid SQL and NoSQL database skills (PostgreSQL, MongoDB) and data modeling expertise Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack) Excellent debugging, performance-tuning, and automation capabilities Openness to evaluate and adopt emerging tools, languages, and frameworks Good to have: Master's or Bachelor's degree in Computer Science, Engineering, or a related field Prior contributions to open-source projects, GitHub repos, or technical publications Experience with infrastructure as code beyond Terraform (e.g., CloudFormation, Pulumi) Familiarity with GenAI model integration (calling LLM or embedding APIs) What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 317427 Posted On: 2025-07-01 Location: Gurgaon, Haryana, India

About the Role: Grade Level (for internal use): 12 The Team: As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will spearhead the design and delivery of robust, scalable ML infrastructure and pipelines that power natural language understanding, data extraction, information retrieval, and data sourcing solutions for S&P Global. You will define AI/ML engineering best practices, mentor fellow engineers and data scientists, and drive production-ready AI products from ideation through deployment. You’ll thrive in a (truly) global team that values thoughtful risk-taking and self-initiative. What’s in it for you: Be part of a global company and build solutions at enterprise scale Lead and grow a technically strong ML engineering function Collaborate on and solve high-complexity, high-impact problems Shape the engineering roadmap for emerging AI/ML capabilities (including GenAI integrations) Key Responsibilities: Architect, develop, and maintain production-ready data acquisition, transformation, and ML pipelines (batch & streaming) Serve as a hands-on lead-writing code, conducting reviews, and troubleshooting to extend and operate our data platforms Apply best practices in data modeling, ETL design, and pipeline orchestration using cloud-native solutions Establish CI/CD and MLOps workflows for model training, validation, deployment, monitoring, and rollback Integrate GenAI components-LLM inference endpoints, embedding stores, prompt services-into broader ML systems Mentor and guide engineers and data scientists; foster a culture of craftsmanship and continuous improvement Collaborate with cross-functional stakeholders (Data Science, Product, IT) to align on requirements, timelines, and SLAs What We’re Looking For: 8-12 years' professional software engineering experience with a strong MLOps focus Expert in Python and Apache for large-scale data processing Deep experience deploying and operating ML pipelines on AWS or GCP Hands-on proficiency with container/orchestration tooling Solid understanding of the full ML model lifecycle and CI/CD principles Skilled in streaming and batch ETL design (e.g., Airflow, Dataflow) Strong OOP design patterns, Test-Driven Development, and enterprise system architecture Advanced SQL skills (big-data variants a plus) and comfort with Linux/bash toolsets Familiarity with version control (Git, GitHub, or Azure DevOps) and code review processes Excellent problem-solving, debugging, and performance-tuning abilities Ability to communicate technical change clearly to non-technical audiences Nice to have: Redis, Celery, SQS and Lambda based event driven pipelines Prior work integrating LLM services (OpenAI, Anthropic, etc.) at scale Experience with Apache Avro and Apache Familiarity with Java and/or .NET Core (C#) What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- IFTECH103.2 - Middle Management Tier II (EEO Job Group) Job ID: 317386 Posted On: 2025-06-30 Location: Gurgaon, Haryana, India

About the Role: Grade Level (for internal use): 09 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will build and maintain enterprise‐scale data extraction, automation, and ML model deployment pipelines that power data sourcing and information retrieval solutions for S&P Global. You will learn to design resilient, production-ready systems in an AWS-based ecosystem while leading by example in a highly engaging, global environment that encourages thoughtful risk-taking and self-initiative. What’s in it for you: Be part of a global company and deliver solutions at enterprise scale Collaborate with a hands-on, technically strong team (including leadership) Solve high-complexity, high-impact problems end-to-end Build, test, deploy, and maintain production-ready pipelines from ideation through deployment Responsibilities: Develop, deploy, and operate data extraction and automation pipelines in production Integrate and deploy machine learning models into those pipelines (e.g., inference services, batch scoring) Lead critical stages of the data engineering lifecycle, including: End-to-end delivery of complex extraction, transformation, and ML deployment projects Scaling and replicating pipelines on AWS (EKS, ECS, Lambda, S3, RDS) Designing and managing DataOps processes, including Celery/Redis task queues and Airflow orchestration Implementing robust CI/CD pipelines on Azure DevOps (build, test, deployment, rollback) Writing and maintaining comprehensive unit, integration, and end-to-end tests (pytest, coverage) Strengthen data quality, reliability, and observability through logging, metrics, and automated alerts Define and evolve platform standards and best practices for code, testing, and deployment Document architecture, processes, and runbooks to ensure reproducibility and smooth hand-offs Partner closely with data scientists, ML engineers, and product teams to align on requirements, SLAs, and delivery timelines Technical Requirements: Expert proficiency in Python, including building extraction libraries and RESTful APIs Hands-on experience with task queues and orchestration: Celery, Redis, Airflow Strong AWS expertise: EKS/ECS, Lambda, S3, RDS/DynamoDB, IAM, CloudWatch Containerization and orchestration: Docker (mandatory), basic Kubernetes (preferred) Proven experience deploying ML models to production (e.g., SageMaker, ECS, Lambda endpoints) Proficient in writing tests (unit, integration, load) and enforcing high coverage Solid understanding of CI/CD practices and hands-on experience with Azure DevOps pipelines Familiarity with SQL and NoSQL stores for extracted data (e.g., PostgreSQL, MongoDB) Strong debugging, performance tuning, and automation skills Openness to evaluate and adopt emerging tools and languages as needed Good to have: Master's or Bachelor's degree in Computer Science, Engineering, or related field 2-6 years of relevant experience in data engineering, automation, or ML deployment Prior contributions on GitHub, technical blogs, or open-source projects Basic familiarity with GenAI model integration (calling LLM or embedding APIs) What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 317425 Posted On: 2025-07-01 Location: Gurgaon, Haryana, India

About the Role: Grade Level (for internal use): 10 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team, you will design, build, and optimize enterprise‐scale data extraction, automation, and ML model deployment pipelines that power data sourcing and information retrieval solutions for S&P Global. You will help define architecture standards, mentor junior engineers, and champion best practices in an AWS-based ecosystem. You’ll lead by example in a highly engaging, global environment that values thoughtful risk-taking and self-initiative. What’s in it for you: Drive solutions at enterprise scale within a global organization Collaborate with and coach a hands-on, technically strong team (including junior and mid-level engineers) Solve high-complexity, high-impact problems from end to end Shape the future of our data platform-build, test, deploy, and maintain production-ready pipelines Responsibilities: Architect, develop, and operate robust data extraction and automation pipelines in production Integrate, deploy, and scale ML models within those pipelines (real-time inference and batch scoring) Lead full lifecycle delivery of complex data projects, including: Designing cloud-native ETL/ELT and ML deployment architectures on AWS (EKS/ECS, Lambda, S3, RDS/DynamoDB) Implementing and maintaining DataOps processes with Celery/Redis task queues, Airflow orchestration, and Terraform IaC Establishing and enforcing CI/CD pipelines on Azure DevOps (build, test, deploy, rollback) with automated quality gates Writing and maintaining comprehensive test suites (unit, integration, load) using pytest and coverage tools Optimize data quality, reliability, and performance through monitoring, alerting (CloudWatch, Prometheus/Grafana), and automated remediation Define-and continuously improve-platform standards, coding guidelines, and operational runbooks Conduct code reviews, pair programming sessions, and provide technical mentorship Partner with data scientists, ML engineers, and product teams to translate requirements into scalable solutions, meet SLAs, and ensure smooth hand-offs Technical Requirements: 4-8 years' hands-on experience in data engineering, with proven track record on critical projects Expert in Python for building extraction libraries, RESTful APIs, and automation scripts Deep AWS expertise: EKS/ECS, Lambda, S3, RDS/DynamoDB, IAM, CloudWatch, and Terraform Containerization and orchestration: Docker (mandatory) and Kubernetes (advanced) Proficient with task queues and orchestration frameworks: Celery, Redis, Airflow Demonstrable experience deploying ML models at scale (SageMaker, ECS/Lambda endpoints) Strong CI/CD background on Azure DevOps; skilled in pipeline authoring, testing, and rollback strategies Advanced testing practices: unit, integration, and load testing; high coverage enforcement Solid SQL and NoSQL database skills (PostgreSQL, MongoDB) and data modeling expertise Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack) Excellent debugging, performance-tuning, and automation capabilities Openness to evaluate and adopt emerging tools, languages, and frameworks Good to have: Master's or Bachelor's degree in Computer Science, Engineering, or a related field Prior contributions to open-source projects, GitHub repos, or technical publications Experience with infrastructure as code beyond Terraform (e.g., CloudFormation, Pulumi) Familiarity with GenAI model integration (calling LLM or embedding APIs) What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 317427 Posted On: 2025-07-01 Location: Gurgaon, Haryana, India

At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively. In actuarial services at PwC, you will be responsible for analysing and managing financial risks for clients through statistical modelling and data analysis. Your work will generate valuable insights and recommendations to help businesses make informed decisions and mitigate potential risks. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. We are looking for a seasoned Data Scientist – Manager to lead advanced analytics initiatives and drive data-driven decision-making across the organization. The ideal candidate combines deep expertise in statistical modeling, machine learning, and modern data science techniques with strong business acumen and leadership skills. The role involves solving complex problems, building scalable models, and integrating advanced AI solutions into business workflows. Key Responsibilities Data Science Leadership: Lead a team of data scientists and analysts in designing, developing, and deploying machine learning models and statistical algorithms. Mentor team members, promoting best practices in experimentation, coding, and model evaluation. Translate business problems into structured analytical solutions using robust quantitative methods. Model Development & AI Integration Develop predictive and prescriptive models using regression, tree-based methods (e.g., Random Forest), LSTM, and reinforcement learning techniques. Apply deep learning and large language models (LLMs) to extract insights from structured and unstructured data. Work closely with engineering teams to productionize models and embed them into digital products and services. Advanced Analytics & Statistical Inference Perform exploratory data analysis, sampling, and inferential testing to identify trends and actionable insights. Use econometric and time series techniques to forecast and evaluate impact, especially in economic or behavioral contexts. Apply PCA and other dimensionality reduction techniques to handle high-dimensional data. Cloud & Data Infrastructure Collaborate with data engineering teams to access and leverage data from cloud platforms (AWS, GCP, Databricks). Utilize SQL, R, and Python to extract, clean, and manipulate large datasets from relational (RDBMS) and NoSQL (e.g., MongoDB) databases. Stakeholder Engagement & Strategic Impact Partner with business stakeholders to define analytical objectives and communicate findings with clarity. Lead data science strategy and roadmap development to ensure alignment with organizational goals. Drive innovation by exploring and implementing state-of-the-art methods in AI and machine learning. Required Skills And Experience 8+ years of experience in data science, with deep proficiency in Python, SQL, and statistical modeling. Proven experience developing and deploying ML models, including deep learning and time series forecasting. Expertise in cloud platforms and data pipeline integration for scalable model delivery. Strong understanding of statistical inference, econometrics, and experimental design. Experience with LLMs and advanced language models is a plus. Excellent problem-solving, communication, and team leadership abilities. Qualifications Master’s or PhD in Data Science, Computer Science, Statistics, Economics, or a related field. Demonstrated ability to lead data science projects from concept to deployment. Strong track record of delivering impact through data science in complex business environments.

Job Title: Senior Data Scientist, Marketplace Location: Hyderabad About Us: Storable operates the largest online marketplace for self storage, helping millions of consumers find and reserve storage units across thousands of facilities nationwide. Our two-sided platform connects storage operators with renters, enabling smarter pricing, increased occupancy, and better visibility for operators—while simplifying the search and booking experience for consumers. We’re growing fast and committed to using data as a competitive advantage in modernizing this legacy industry. The Role: We’re looking for a Senior Data Scientist to join our Marketplace team and help shape the future of self storage through data. In this role, you’ll lead high-impact initiatives that drive liquidity, optimize search and matching, and improve monetization across our platform. You’ll partner cross-functionally to inform product strategy, develop models that enhance customer experience and operator performance, and bring structure to a traditionally opaque industry. This is an ideal opportunity for a deeply analytical, product-oriented thinker who thrives in a fast-moving environment and is excited to shape the evolution of a digital marketplace in a historically offline space. What You’ll Do: Analyze marketplace dynamics across supply and demand, uncovering insights to improve conversion, fill rates, and operator performance. Design and evaluate experiments that test pricing strategies, inventory prioritization, and incentive programs for both consumers and storage operators. Build predictive models for customer acquisition, lead quality scoring, pricing elasticity, and churn forecasting. Partner with Product, Engineering, and Sales to develop tools and dashboards that guide marketplace health and operator decision-making. Support the rollout of new features (e.g., dynamic pricing, lead routing, inventory optimization) with data validation, success metrics, and performance analysis. Develop frameworks to balance occupancy and revenue across regions, seasons, and storage types. What You Bring: 7+ years of experience in data science, ideally with exposure to marketplaces, real estate, local services, or platform ecosystems. Strong statistical background with expertise in experimentation, causal inference, and regression modeling. Proficiency in SQL and Python; experience working with large-scale data sets and modern data stacks (e.g., dbt, Airflow, Snowflake). Proven success influencing product strategy and commercial decisions using data. A practical, iterative approach to modeling—balancing speed with rigor in a real-world environment. Experience collaborating cross-functionally with PMs, engineers, analysts, and business leaders. Comfort navigating noisy or incomplete data, especially in fragmented industries like self storage. Bonus Points For: Experience building pricing, search, or lead quality models in a lead-gen or vertical marketplace business. Understanding of the self storage industry, including occupancy economics, customer behavior, and regional trends. Familiarity with geospatial analysis, customer segmentation, or recommender systems.

Description: JOB RESPONSIBILITY • Collaborate with cross-functional teams, including data scientists and product managers, to acquire, process, and manage data for AI/ML model integration and optimization. • Design and implement robust, scalable, and enterprise-grade data pipelines to support state-of-the-art AI/ML models. • Debug, optimize, and enhance machine learning models, ensuring quality assurance and performance improvements. • Operate container orchestration platforms like Kubernetes, with advanced configurations and service mesh implementations, for scalable ML workload deployments. • Design and build scalable LLM inference architectures, employing GPU memory optimization techniques and model quantization for efficient deployment. • Engage in advanced prompt engineering and fine-tuning of large language models (LLMs), focusing on semantic retrieval and chatbot development. • Document model architectures, hyperparameter optimization experiments, and validation results using version control and experiment tracking tools like MLflow or DVC. • Research and implement cutting-edge LLM optimization techniques, such as quantization and knowledge distillation, ensuring efficient model performance and reduced computational costs. • Collaborate closely with stakeholders to develop innovative and effective natural language processing solutions, specializing in text classification, sentiment analysis, and topic modeling. • Stay up-to-date with industry trends and advancements in AI technologies, integrating new methodologies and frameworks to continually enhance the AI engineering function. • Contribute to creating specialized AI solutions in healthcare, leveraging domain-specific knowledge for task adaptation and deployment. QUALIFICATION Minimum education: Bachelor’s degree in any Engineering Stream Specialized training, certifications, and/or other special requirements: Nice to have Preferred education: Computer Science/Engineering. EXPERIENCE Minimum relevant experience - 4+ years in AI Engineering SKILLS AND COMPETENCIES Technical Skills: • Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow) • Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques • Experience with big data processing using Spark for large-scale data analytics • Version control and experiment tracking using Git and MLflow • Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing. • DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations. • LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management. • MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining. • Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems. • LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security. • General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP. • Experience in creating LLD for the provided architecture. • Experience working in microservices based architecture. Domain Expertise: • Strong mathematical foundation in statistics, probability, linear algebra, and optimization • Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation • Expertise in feature engineering, embedding optimization, and dimensionality reduction • Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing • Experience with RAG systems, vector databases, and semantic search implementation • Proficiency in LLM optimization techniques including quantization and knowledge distillation • Understanding of MLOps practices for model deployment and monitoring Professional Competencies: • Strong analytical thinking with ability to solve complex ML challenges • Excellent communication skills for presenting technical findings to diverse audiences • Experience translating business requirements into data science solutions • Project management skills for coordinating ML experiments and deployments • Strong collaboration abilities for working with cross-functional teams • Dedication to staying current with latest ML research and best practices • Ability to mentor and share knowledge with team members

Role: Data Engineer Primary Skill: Python, Pyspark Mandatory and AWS Services and pipelines. Location: Hyderabad/ Pune/ Coimbatore Experience: 2 - 4 years of experience Job Summary: We are looking for a Lead Data Engineer who will be responsible for building AWS Data pipelines as per requirements. Should have strong analytical skills, design capabilities, problem solving skills. Based on stakeholders’ requirements, should be able to propose solutions to the customer for review. Discuss pros/cons of different solution designs and optimization strategies. Responsibilities: Provide technical and development support to clients to build and maintain data pipelines. Develop data mapping documents listing business and transformational rules. Develop, unit test, deploy and maintain data pipelines. Design a Storage Layer for storing tabular/semi-structured/unstructured data. Design pipelines for batch/real-time processing of large data volumes. Analyze source specifications and build data mapping documents. Identify and document applicable non-functional code sets and reference data across insurance domains. Understand profiling results and validate data quality rules. Utilize data analysis tools to construct and manipulate datasets to support analyses. Collaborate with and support Quality Assurance (QA) in building functional scenarios and validating results. Requirements: 2+ years’ experience developing and maintaining modern ingestion pipeline using technologies like (AWS pipelines, Lamda, Spark, Apache Nifi etc). Basic understanding of the MLOPs lifecycle (Data prep -> model training -> model deployment -> model inference -> model re-training). Should be able to design data pipelines for batch/real time using Lambda, Step Functions, API Gateway, SNS, S3. Hands on experience on AWS Cloud and its Native components like S3, Athena, Redshift & Jupyter Notebooks. Requirements Gathering - Active involvement during requirements discussions with project sponsors, defining the project scope and delivery timelines, Design & Development. Strong in Spark Scala & Python pipelines (ETL & Streaming). Strong experience in metadata management tools like AWS Glue. Strong experience in coding with languages like Java, Python. Good-to-have AWS Developer certified. Good-to-have Postman-API and Apache Airflow or similar schedulers experience. Working with cross-functional teams to meet strategic goals. Experience in high volume data environments. Critical thinking and excellent verbal and written communication skills. Strong problem-solving and analytical abilities should be able to work and deliver individually. Good knowledge of data warehousing concepts. Desired Skill Set : Lambda, Step Functions, API Gateway, SNS, S3 (unstructured data), DynamoDB (semi-structured data), Aurora PostgreSQL (tabular data), AWS Sagemaker, AWS CodeCommit/GitLab, AWS CodeBuild, AWS Code Pipeline, AWS ECR . Aboutthe Company: ValueMomentum is amongst the fastestgrowing insurance-focused IT services providersin North America.Leading insurers trust ValueMomentum with their core, digital and data transformation initiatives. Having grown consistently every year by 24%, we have now grown to over 4000 employees. ValueMomentum is committed to integrity and to ensuring that each team and employee is successful. We foster an open work culture where employees' opinions are valued. We believe in teamwork and cultivate a sense of fun, fellowship, and pride among our employees. Benefits: We at ValueMomentum offer you the opportunity to grow by working alongside the experts. Some of the benefits you can avail are: Competitive compensation package comparable to the best in the industry. Career Advancement : Individual Career Development, coaching and mentoring programs for professional and leadership skill development. Comprehensive training and certification programs. Performance Management : Goal Setting, continuous feedback and year-end appraisal. Reward & recognition for the extraordinary performers. Benefits : Comprehensive health benefits, wellness and fitness programs. Paid time off and holidays. Culture : A highly transparent organization with an open-door policy and a vibrant culture

About the Role: We are looking for an AI Engineer with experience in Speech-to-text and Text Generation to solve a Conversational AI challenge for our client based in EMEA. The focus of this project is to transcribe conversations and leverage generative AI-powered text analytics to drive better engagement strategies and decision-making. The ideal candidate will have deep expertise in Speech-to-Text (STT), Natural Language Processing (NLP), Large Language Models (LLMs), and Conversational AI systems. This role involves working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools. Key Responsibilities 1. Conversational AI & Call Transcription Development Develop and fine-tune automatic speech recognition (ASR) models Implement language model fine-tuning for industry-specific language. Develop speaker diarization techniques to distinguish speakers in multi-speaker conversations. 2. NLP & Generative AI Applications Build summarization models to extract key insights from conversations. Implement Named Entity Recognition (NER) to identify key topics. Apply LLMs for conversation analytics and context-aware recommendations. Design custom RAG (Retrieval-Augmented Generation) pipelines to enrich call summaries with external knowledge. 3. Sentiment Analysis & Decision Support Develop sentiment and intent classification models. Create predictive models that suggest next-best actions based on call content, engagement levels, and historical data. 4. AI Deployment & Scalability Deploy AI models using tools like AWS, GCP, Azure AI, ensuring scalability and real-time processing. Optimize inference pipelines using ONNX, TensorRT, or Triton for cost-effective model serving. Implement MLOps workflows to continuously improve model performance with new call data. Required Skills & Qualifications: Technical Skills 5+ Years of Strong experience in Speech-to-Text (ASR), NLP, and Conversational AI. Hands-on expertise with tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google Speech-to-Text. Proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers. Experience with LLM fine-tuning, RAG-based architectures, and LangChain. Hands-on experience with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for knowledge retrieval. Experience deploying AI models using Docker, Kubernetes, FastAPI, Flask. Soft Skills Ability to translate AI insights into business impact. Strong problem-solving skills and ability to work in a fast-paced AI-first environment. Excellent communication skills to collaborate with cross-functional teams, including data scientists, engineers, and client stakeholders. Preferred Qualifications Experience in healthcare, pharma, or life sciences NLP use cases. Background in knowledge graphs, prompt engineering, and multimodal AI. Experience with Reinforcement Learning (RLHF) for improving conversation models. What do you get in return? Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table. Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks : Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats : Dive into our casual "Growth Chats" where you can learn from the best whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills. Snack Zone: Stay fueled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards : We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We’re all about your growth groove! Level up your skills with our support as we cover the cost of your certifications .

About The Role Grade Level (for internal use): 09 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will build and maintain enterprise‐scale data extraction, automation, and ML model deployment pipelines that power data sourcing and information retrieval solutions for S&P Global. You will learn to design resilient, production-ready systems in an AWS-based ecosystem while leading by example in a highly engaging, global environment that encourages thoughtful risk-taking and self-initiative. What’s In It For You Be part of a global company and deliver solutions at enterprise scale Collaborate with a hands-on, technically strong team (including leadership) Solve high-complexity, high-impact problems end-to-end Build, test, deploy, and maintain production-ready pipelines from ideation through deployment Responsibilities Develop, deploy, and operate data extraction and automation pipelines in production Integrate and deploy machine learning models into those pipelines (e.g., inference services, batch scoring) Lead critical stages of the data engineering lifecycle, including: End-to-end delivery of complex extraction, transformation, and ML deployment projects Scaling and replicating pipelines on AWS (EKS, ECS, Lambda, S3, RDS) Designing and managing DataOps processes, including Celery/Redis task queues and Airflow orchestration Implementing robust CI/CD pipelines on Azure DevOps (build, test, deployment, rollback) Writing and maintaining comprehensive unit, integration, and end-to-end tests (pytest, coverage) Strengthen data quality, reliability, and observability through logging, metrics, and automated alerts Define and evolve platform standards and best practices for code, testing, and deployment Document architecture, processes, and runbooks to ensure reproducibility and smooth hand-offs Partner closely with data scientists, ML engineers, and product teams to align on requirements, SLAs, and delivery timelines Technical Requirements Expert proficiency in Python, including building extraction libraries and RESTful APIs Hands-on experience with task queues and orchestration: Celery, Redis, Airflow Strong AWS expertise: EKS/ECS, Lambda, S3, RDS/DynamoDB, IAM, CloudWatch Containerization and orchestration: Docker (mandatory), basic Kubernetes (preferred) Proven experience deploying ML models to production (e.g., SageMaker, ECS, Lambda endpoints) Proficient in writing tests (unit, integration, load) and enforcing high coverage Solid understanding of CI/CD practices and hands-on experience with Azure DevOps pipelines Familiarity with SQL and NoSQL stores for extracted data (e.g., PostgreSQL, MongoDB) Strong debugging, performance tuning, and automation skills Openness to evaluate and adopt emerging tools and languages as needed Good To Have Master's or Bachelor's degree in Computer Science, Engineering, or related field 2-6 years of relevant experience in data engineering, automation, or ML deployment Prior contributions on GitHub, technical blogs, or open-source projects Basic familiarity with GenAI model integration (calling LLM or embedding APIs) What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 317425 Posted On: 2025-07-01 Location: Gurgaon, Haryana, India

About The Role Grade Level (for internal use): 10 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team, you will design, build, and optimize enterprise‐scale data extraction, automation, and ML model deployment pipelines that power data sourcing and information retrieval solutions for S&P Global. You will help define architecture standards, mentor junior engineers, and champion best practices in an AWS-based ecosystem. You’ll lead by example in a highly engaging, global environment that values thoughtful risk-taking and self-initiative. What’s In It For You Drive solutions at enterprise scale within a global organization Collaborate with and coach a hands-on, technically strong team (including junior and mid-level engineers) Solve high-complexity, high-impact problems from end to end Shape the future of our data platform-build, test, deploy, and maintain production-ready pipelines Responsibilities Architect, develop, and operate robust data extraction and automation pipelines in production Integrate, deploy, and scale ML models within those pipelines (real-time inference and batch scoring) Lead full lifecycle delivery of complex data projects, including: Designing cloud-native ETL/ELT and ML deployment architectures on AWS (EKS/ECS, Lambda, S3, RDS/DynamoDB) Implementing and maintaining DataOps processes with Celery/Redis task queues, Airflow orchestration, and Terraform IaC Establishing and enforcing CI/CD pipelines on Azure DevOps (build, test, deploy, rollback) with automated quality gates Writing and maintaining comprehensive test suites (unit, integration, load) using pytest and coverage tools Optimize data quality, reliability, and performance through monitoring, alerting (CloudWatch, Prometheus/Grafana), and automated remediation Define-and continuously improve-platform standards, coding guidelines, and operational runbooks Conduct code reviews, pair programming sessions, and provide technical mentorship Partner with data scientists, ML engineers, and product teams to translate requirements into scalable solutions, meet SLAs, and ensure smooth hand-offs Technical Requirements 4-8 years' hands-on experience in data engineering, with proven track record on critical projects Expert in Python for building extraction libraries, RESTful APIs, and automation scripts Deep AWS expertise: EKS/ECS, Lambda, S3, RDS/DynamoDB, IAM, CloudWatch, and Terraform Containerization and orchestration: Docker (mandatory) and Kubernetes (advanced) Proficient with task queues and orchestration frameworks: Celery, Redis, Airflow Demonstrable experience deploying ML models at scale (SageMaker, ECS/Lambda endpoints) Strong CI/CD background on Azure DevOps; skilled in pipeline authoring, testing, and rollback strategies Advanced testing practices: unit, integration, and load testing; high coverage enforcement Solid SQL and NoSQL database skills (PostgreSQL, MongoDB) and data modeling expertise Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack) Excellent debugging, performance-tuning, and automation capabilities Openness to evaluate and adopt emerging tools, languages, and frameworks Good To Have Master's or Bachelor's degree in Computer Science, Engineering, or a related field Prior contributions to open-source projects, GitHub repos, or technical publications Experience with infrastructure as code beyond Terraform (e.g., CloudFormation, Pulumi) Familiarity with GenAI model integration (calling LLM or embedding APIs) What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 317427 Posted On: 2025-07-01 Location: Gurgaon, Haryana, India

About The Role Grade Level (for internal use): 09 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will build and maintain enterprise‐scale data extraction, automation, and ML model deployment pipelines that power data sourcing and information retrieval solutions for S&P Global. You will learn to design resilient, production-ready systems in an AWS-based ecosystem while leading by example in a highly engaging, global environment that encourages thoughtful risk-taking and self-initiative. What’s In It For You Be part of a global company and deliver solutions at enterprise scale Collaborate with a hands-on, technically strong team (including leadership) Solve high-complexity, high-impact problems end-to-end Build, test, deploy, and maintain production-ready pipelines from ideation through deployment Responsibilities Develop, deploy, and operate data extraction and automation pipelines in production Integrate and deploy machine learning models into those pipelines (e.g., inference services, batch scoring) Lead critical stages of the data engineering lifecycle, including: End-to-end delivery of complex extraction, transformation, and ML deployment projects Scaling and replicating pipelines on AWS (EKS, ECS, Lambda, S3, RDS) Designing and managing DataOps processes, including Celery/Redis task queues and Airflow orchestration Implementing robust CI/CD pipelines on Azure DevOps (build, test, deployment, rollback) Writing and maintaining comprehensive unit, integration, and end-to-end tests (pytest, coverage) Strengthen data quality, reliability, and observability through logging, metrics, and automated alerts Define and evolve platform standards and best practices for code, testing, and deployment Document architecture, processes, and runbooks to ensure reproducibility and smooth hand-offs Partner closely with data scientists, ML engineers, and product teams to align on requirements, SLAs, and delivery timelines Technical Requirements Expert proficiency in Python, including building extraction libraries and RESTful APIs Hands-on experience with task queues and orchestration: Celery, Redis, Airflow Strong AWS expertise: EKS/ECS, Lambda, S3, RDS/DynamoDB, IAM, CloudWatch Containerization and orchestration: Docker (mandatory), basic Kubernetes (preferred) Proven experience deploying ML models to production (e.g., SageMaker, ECS, Lambda endpoints) Proficient in writing tests (unit, integration, load) and enforcing high coverage Solid understanding of CI/CD practices and hands-on experience with Azure DevOps pipelines Familiarity with SQL and NoSQL stores for extracted data (e.g., PostgreSQL, MongoDB) Strong debugging, performance tuning, and automation skills Openness to evaluate and adopt emerging tools and languages as needed Good To Have Master's or Bachelor's degree in Computer Science, Engineering, or related field 2-6 years of relevant experience in data engineering, automation, or ML deployment Prior contributions on GitHub, technical blogs, or open-source projects Basic familiarity with GenAI model integration (calling LLM or embedding APIs) What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 317425 Posted On: 2025-07-01 Location: Gurgaon, Haryana, India