4811 Flask Jobs - Page 45

Responsibilities: Develop backend systems using Python, Implement web scraping solutions, Build APIs, Work with databases, Optimize performance, Collaborate with frontend teams

Python/Django/Flask/AWS/Docker

About Gruve Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks. Position Summary We are seeking a highly skilled and motivated Software Engineer to develop and implement an Infrastructure Asset Management Platform. This platform will assist infrastructure teams in efficiently managing and tracking assets for regulatory audit purposes. The successful candidate will work on building a comprehensive automation solution to maintain an inventory of critical infrastructure assets. Key Responsibilities Develop Python Applications Python code for backend services, APIs, and automation solutions. Enhance and maintain existing Python codebase to improve performance, scalability, and reliability. Integrate with third-party services and APIs, ensuring smooth data exchange and API consumption. Participate in code reviews to ensure the codebase remains high-quality, maintainable, and well-documented. Identify and resolve issues with code, infrastructure, or performance through debugging and effective problem-solving. Participate in sprint planning, daily stand-ups, and sprint reviews as part of an Agile team. Basic Qualifications 4-5 years of experience as a Python developer or in a related role. Proficiency in Python with strong understanding of object-oriented programming (OOP), data structures, and algorithms. Experience with Python frameworks (e.g., Django, Flask, FastAPI). Solid knowledge of RESTful API development and integration. Preferred Qualifications Experience working with databases (e.g., PostgreSQL, MySQL, MongoDB) and writing efficient queries. Knowledge of CI/CD practices and tools like Jenkins, GitLab CI, or CircleCI. Bachelor's or master’s degree in computer science, Engineering, or a related field. Why Gruve At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you. Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.

Job Title: Odoo Tech Lead Location: GM IT Park, Sector 142, Noida Job Type: Full-time (Work from Office) Experience: 5+ Years Salary: As per industry standards (share current & expected CTC) Job Summary: We are hiring a skilled Odoo Tech Lead with 5+ years of experience in Python and Odoo platform development. The ideal candidate will lead end-to-end project execution, including development, integration, troubleshooting, and team guidance. Strong communication, client-handling skills, and technical mentorship are key. Key Responsibilities: Analyze client requirements and translate them into technical specs Customize and develop Odoo modules, workflows, and business logic Handle Odoo version upgrades, POS integration, OWL web development Lead the project lifecycle from planning to implementation and support Collaborate on API integrations (REST APIs) and third-party tools Troubleshoot issues, guide junior developers, and ensure performance Maintain technical documentation and user guides Required Skills: Odoo 17, Python, OWL, HTML, CSS, jQuery PostgreSQL database expertise REST API integration experience Familiarity with the Flask framework Strong understanding of the Linux OS Excellent team management and problem-solving skills Education: Bachelor’s in Computer Science, Information Systems, or related field

Industry & Sector A rapidly scaling product company in the financial-technology and data-analytics space, we build cloud-native platforms that process high-volume transactions and deliver real-time insights to global enterprises. Our engineering teams turn complex business problems into elegant, scalable Python services deployed on modern cloud infrastructure. Role & Responsibilities Design, code and maintain robust Python microservices powering data ingestion, transformation and API delivery. Develop RESTful and GraphQL endpoints with Django/Flask, ensuring high availability and low latency. Optimise SQL and NoSQL queries, implement caching layers and profiling tools to boost performance. Write unit, integration and load tests and embed code quality gates into CI/CD pipelines. Collaborate with DevOps to containerise workloads using Docker and orchestrate deployments on AWS. Engage in Agile ceremonies, perform code reviews and mentor junior developers on best practices. Skills & Qualifications Must-Have 3+ years professional Python development in production environments. Hands-on experience with Django or Flask and building REST APIs. Strong SQL skills with PostgreSQL/MySQL and familiarity with ORMs. Proficiency in Git workflows, unit testing frameworks and CI/CD. Solid understanding of data structures, algorithms and OOP. Preferred Exposure to cloud services (AWS, Azure or GCP) and container orchestration (Kubernetes/EKS). Experience with Celery, RabbitMQ or Kafka for asynchronous processing. Knowledge of GraphQL, Redis caching and serverless functions. Understanding of DevSecOps, monitoring and observability tools (Prometheus, Grafana). Benefits & Culture Competitive salary with annual performance bonuses. Continuous learning budget and access to certification programs. Collaborative, high-trust culture that encourages innovation and ownership. Skills: python,django,sql,git,unit testing,aws,agile,data science

Industry & Sector A rapidly scaling product company in the financial-technology and data-analytics space, we build cloud-native platforms that process high-volume transactions and deliver real-time insights to global enterprises. Our engineering teams turn complex business problems into elegant, scalable Python services deployed on modern cloud infrastructure. Role & Responsibilities Design, code and maintain robust Python microservices powering data ingestion, transformation and API delivery. Develop RESTful and GraphQL endpoints with Django/Flask, ensuring high availability and low latency. Optimise SQL and NoSQL queries, implement caching layers and profiling tools to boost performance. Write unit, integration and load tests and embed code quality gates into CI/CD pipelines. Collaborate with DevOps to containerise workloads using Docker and orchestrate deployments on AWS. Engage in Agile ceremonies, perform code reviews and mentor junior developers on best practices. Skills & Qualifications Must-Have 3+ years professional Python development in production environments. Hands-on experience with Django or Flask and building REST APIs. Strong SQL skills with PostgreSQL/MySQL and familiarity with ORMs. Proficiency in Git workflows, unit testing frameworks and CI/CD. Solid understanding of data structures, algorithms and OOP. Preferred Exposure to cloud services (AWS, Azure or GCP) and container orchestration (Kubernetes/EKS). Experience with Celery, RabbitMQ or Kafka for asynchronous processing. Knowledge of GraphQL, Redis caching and serverless functions. Understanding of DevSecOps, monitoring and observability tools (Prometheus, Grafana). Benefits & Culture Competitive salary with annual performance bonuses. Continuous learning budget and access to certification programs. Collaborative, high-trust culture that encourages innovation and ownership. Skills: python,django,sql,git,unit testing,aws,agile,data science

Industry & Sector A rapidly scaling product company in the financial-technology and data-analytics space, we build cloud-native platforms that process high-volume transactions and deliver real-time insights to global enterprises. Our engineering teams turn complex business problems into elegant, scalable Python services deployed on modern cloud infrastructure. Role & Responsibilities Design, code and maintain robust Python microservices powering data ingestion, transformation and API delivery. Develop RESTful and GraphQL endpoints with Django/Flask, ensuring high availability and low latency. Optimise SQL and NoSQL queries, implement caching layers and profiling tools to boost performance. Write unit, integration and load tests and embed code quality gates into CI/CD pipelines. Collaborate with DevOps to containerise workloads using Docker and orchestrate deployments on AWS. Engage in Agile ceremonies, perform code reviews and mentor junior developers on best practices. Skills & Qualifications Must-Have 3+ years professional Python development in production environments. Hands-on experience with Django or Flask and building REST APIs. Strong SQL skills with PostgreSQL/MySQL and familiarity with ORMs. Proficiency in Git workflows, unit testing frameworks and CI/CD. Solid understanding of data structures, algorithms and OOP. Preferred Exposure to cloud services (AWS, Azure or GCP) and container orchestration (Kubernetes/EKS). Experience with Celery, RabbitMQ or Kafka for asynchronous processing. Knowledge of GraphQL, Redis caching and serverless functions. Understanding of DevSecOps, monitoring and observability tools (Prometheus, Grafana). Benefits & Culture Competitive salary with annual performance bonuses. Continuous learning budget and access to certification programs. Collaborative, high-trust culture that encourages innovation and ownership. Skills: python,django,sql,git,unit testing,aws,agile,data science

Industry & Sector A rapidly scaling product company in the financial-technology and data-analytics space, we build cloud-native platforms that process high-volume transactions and deliver real-time insights to global enterprises. Our engineering teams turn complex business problems into elegant, scalable Python services deployed on modern cloud infrastructure. Role & Responsibilities Design, code and maintain robust Python microservices powering data ingestion, transformation and API delivery. Develop RESTful and GraphQL endpoints with Django/Flask, ensuring high availability and low latency. Optimise SQL and NoSQL queries, implement caching layers and profiling tools to boost performance. Write unit, integration and load tests and embed code quality gates into CI/CD pipelines. Collaborate with DevOps to containerise workloads using Docker and orchestrate deployments on AWS. Engage in Agile ceremonies, perform code reviews and mentor junior developers on best practices. Skills & Qualifications Must-Have 3+ years professional Python development in production environments. Hands-on experience with Django or Flask and building REST APIs. Strong SQL skills with PostgreSQL/MySQL and familiarity with ORMs. Proficiency in Git workflows, unit testing frameworks and CI/CD. Solid understanding of data structures, algorithms and OOP. Preferred Exposure to cloud services (AWS, Azure or GCP) and container orchestration (Kubernetes/EKS). Experience with Celery, RabbitMQ or Kafka for asynchronous processing. Knowledge of GraphQL, Redis caching and serverless functions. Understanding of DevSecOps, monitoring and observability tools (Prometheus, Grafana). Benefits & Culture Competitive salary with annual performance bonuses. Continuous learning budget and access to certification programs. Collaborative, high-trust culture that encourages innovation and ownership. Skills: python,django,sql,git,unit testing,aws,agile,data science

Job Description: We are seeking a highly skilled and experienced Technical Architect to join our growing engineering team. As a Technical Architect, you will be responsible for architecting, designing, and implementing features with strong emphasis on non-functional requirements, ensuring highly performant, resilient, maintainable, and scalable product aligned with business objectives. The successful candidate will possess excellent problem-solving skills with a strong background in building distributed systems. Key Responsibilities: • Collaborate with stakeholders to understand business requirements and translate them into technical specifications and architecture designs. • Lead architecture and design of platform features to meet functional and non-functional requirements and adhering to development best practices, coding standards. • Evaluate and recommend appropriate technologies, frameworks, and tools to support the development process and enhance system performance. • Lead the creation of technical architecture and design documents, data models et al, and ensure they are up to date, and all stakeholders understand and agree with them. • Coordinate with stakeholders to ensure that the system/feature architecture and design align with business objectives and initiatives. • Provide technical guidance and mentorship to the engineering team, helping resolve complex technical issues and ensuring successful delivery of features. • Define and implement best practices for continuous integration, continuous deployment (CI/CD), and automated testing. • Conduct code reviews to ensure code quality, maintainability, and adherence to architectural guidelines. • Drive innovation and contribute to the evolution of our technical architecture to meet changing business needs and market demands. • Stay current with emerging technologies and industry trends and assess their potential impact on our architecture and development practices. • Lead by example, demonstrating technical excellence, professionalism, and a commitment to continuous improvement. Qualifications and Skills: • Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • 10-15 years of experience as Technical Architect, or a similar role. • Proven experience in designing and implementing distributed systems. • Strong understanding of software architecture principles, design patterns, and architectural styles. • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and familiarity with cloud-native architectures. • Solid understanding of database technologies (SQL and NoSQL) and data modeling concepts. • Knowledge of DevOps practices and tools for infrastructure automation such as Docker and Kubernetes. • Extensive hands-on experience with Python, including proficiency in Python frameworks such as Django, Flask, or FastAPI. • Familiarity with Agile development methodologies. • Excellent problem-solving skills and the ability to analyze complex technical challenges and propose innovative solutions. • Excellent communication skills with the ability to effectively collaborate with cross-functional teams and stakeholders. • Any relevant architecture certification is a plus. • Strong leadership abilities with a passion for mentoring and developing technical talent. What We Offer: • Competitive salary and benefits. • Opportunities for professional development and career growth. • An inclusive, diverse, and creative work environment. • Employee wellness programs and initiatives. Interested candidates are encouraged to apply by sending a resume and cover letter detailing their qualifications and interest in this position.

Key Responsibilities: Build and manage CI/CD pipelines using Jenkins and GitHub Actions Develop RESTful APIs using Python (Flask/FastAPI) Work with data platforms like Teradata , Snowflake , and orchestration tools like Airflow Support ML Ops processes using MLflow and Dataiku Deploy applications in OpenShift and lead cloud migration strategies Collaborate with global teams and engage with stakeholders Required Skills: 5+ years of hands-on experience in Python DevOps Engineering Strong expertise in cloud platforms (AWS, Azure, or GCP) Advanced programming in Python , experience with Flask and FastAPI Familiar with containerization, microservices, and cloud-native tools Excellent communication, decision-making, and cross-cultural collaboration skills

Job Title: Python Full Stack Developer Experience: 1 to 3 years Location: Ahmedabad, Gujarat / Chennai, Tamil Nadu Company: GMIndia Pvt. Ltd. About GMIndia Pvt. Ltd.: GMIndia Pvt. Ltd. is a forward-thinking technology company offering innovative, AI-driven solutions to industries such as public administration, healthcare, fintech, and manufacturing. We’re growing rapidly and are on the lookout for passionate developers ready to build scalable, intelligent, and secure web applications. Job Summary: We are seeking a Junior Full Stack Developer (Python) with 0–3 years of experience in designing, developing, and deploying full stack applications. The ideal candidate will have a strong foundation in Python backend frameworks and hands-on experience with modern frontend technologies. Freshers with strong fundamentals and project experience are encouraged to apply! Candidates from all parts of India are welcome to apply. Key Responsibilities: Develop, test, and maintain scalable web applications using Python (Django/Flask/FastAPI) on the backend Implement intuitive and responsive user interfaces using HTML, CSS, JavaScript, React or Angular Build RESTful APIs and integrate third-party services Collaborate with UI/UX designers, project managers, and QA teams to deliver high-quality features Optimize applications for performance, scalability, and security Write clean, reusable, and well-documented code Use version control systems (Git/GitHub) and follow Agile development methodologies Explore opportunities to integrate automation and AI-based tools into the development lifecycle Required Skills: Strong command over Python programming and backend frameworks like Django or Flask Frontend skills in JavaScript, HTML5, CSS3 , and one of the modern frameworks ( React.js / Angular ) Experience with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB) Understanding of API development and integration Familiarity with Docker , Git , and CI/CD pipelines Knowledge of unit testing , debugging, and troubleshooting techniques Exposure to cloud platforms (e.g., AWS, Azure, GCP) is a plus Preferred Qualifications: Bachelor’s degree in Computer Science, IT, Engineering, or a related field 0–3 years of relevant development experience in full stack environments Preferred Certifications (Any of the following): Python Developer Certification (e.g., PCEP, PCAP) Full Stack Web Development (Coursera, Udemy, or LinkedIn Learning) Django/Flask Certification Frontend frameworks (React/Angular) certification Cloud fundamentals (AWS Certified Cloud Practitioner or similar) Bonus if you have: Experience with AI/ML integrations or data visualization libraries Hands-on with low-code or automation platforms Knowledge of DevOps and containerization Contribution to open-source projects or GitHub portfolio Why Join GMIndia? Work on next-gen AI-integrated applications Get exposure to multi-domain projects and real-time challenges A collaborative and growth-oriented culture Opportunities to learn, build, and innovate every day Job Type: Full-time Location Type: In-person Schedule: Day shift Monday to Friday Work Location: In person

Title ROLE DESCRIPTION Code Manager - Data Science TBA Role Holder (if Currently Filled) Role archetype TBA Individual Contributor Division/Department Grade/Level Finance - Retail Analytics Unit TBD Reporting to Location Senior Manager/Manager Analytics India Managing/Leading (if Applicable) Date of last revision N/A May 2022 Role Purpose The Manager - Data Science is responsible for supporting on developing the product vision and roadmap in close collaboration with our product owners, data engineers and data analysts who are spearheading the Advanced Analytics transformation across Majid Al Futtaim. Majid Al Futtaim Retail is continuing to develop and build its analytics talent to support its advanced analytics agenda. The various analytics use cases launched by the Retail Analytics Unit on a start-up mode will establish the unit’s foundation to develop a powerful product portfolio following it’s sustainable growth. As such, team members are given the latitude to shape the trajectory of the unit and bring their ideas and visions into fruition. He/she will be at the forefront of enhancing the Advanced Analytics value proposition, in line with the long-term digital and non-digital objectives of Majid Al Futtaim. Role Details – Key Responsibilities And Accountabilities Designing, Testing & Implementing data models Design methodologies to estimate business value and track adoption of the developed solutions Leverage expertise in quantitative analysis, data mining, and data manipulation to develop high quality, advanced statistical models, and partner with product owners advising on approach and solutioning Enhance new algorithms to address structured/unstructured Retail Analytics problems, and improve existing algorithms to achieve data-driven decision making Lead the development/enhancement of scalable, advanced models for new and existing solutions; and validate and optimize models’ performance Lead the solution development process from proof of concept through to deployment stage Run experiments to assess model’s results, analyze project’s key metrics and develop impact measurement framework Ideate and develop proof of concepts for new analytics initiatives having a customer-centric approach. Build new and creative analytics products with the aim of optimizing the user experience and business operations Actively participate in squad meetings, update teams on the progress using proper sprint documents, communicate effectively with technical and non-technical audience elaborating on the models and recommending data-driven solutions Develop talent and build the Data Scientist/Analyst NextGen skilled and fully engaged team members Coordination and Communication Act as a thought partner to the analytics team and other key stakeholders, to identify the scope of improvement and drive the right processes to deliver on the business objectives Liaise with the product team to implement new modules, maintain and release production pipelines in a timely and responsible manner Ensure regular information exchange with all relevant stakeholders and update them on the development progress across projects Contribute to the development of presentations on advanced analytics and performance in key areas of the business and communicate results across the organisation Build relationships and maintain strong partnerships with key personnel to help achieve organisational goals Collaborate with key stakeholders to ensure clarity of the specifications and expectations of the Retail Analytics Unit Audit and Reporting Responsible for the preparation of business presentations and reports related to Retail Analytics for various stakeholders, on periodic and ad hoc basis as and when required Support on performing regular audit of various processes and databases for the Retail Analytics Unit in order to identify gaps and risks, and propose corrective actions Policies and Procedures Support on developing and reviewing the Retail Analytics policies and procedures and ensure it is implemented and reported on as a part of the policies and procedures for the Retail Analytics Unit Support on the development and implementation of relevant policies and procedures Human Capital Responsibilities Assist with the implementation of the performance management process by setting objectives, monitoring performance, and provide constructive feedback and provide inputs to senior management Provide mentorship for the purpose of developing a continuous talent pipeline for key roles Provide inputs on training needs and coordinate with the HC department to ensure facilitation of training requirements Develop and implement on the job-training for the team Provide inputs for the development of annual manpower plan Ensure the implementation of MAF Retail’s corporate policies and relevant procedures Disclaimer: This role description reflects the general details considered necessary to describe the principal responsibilities of the role identified and shall not be construed as an exhaustive description of all the work requirements inherent to success in the role. Definition of Success To Be Added Other Context (if Applicable) N/A Functional/Technical Competencies To Be Added Minimum Qualifications/education Personal Characteristics and Required Background: Bachelor’s Degree in an IT-related field or Computer Engineering Master’s Degree in a similar field is preferred Minimum Experience 5-7 years in a senior Data Scientist role in an international environment; building advanced analytics models/solutions/products with the ability to demonstrate value and track record 2+ years in the retail/FMCG business is preferred Skills Experience in several visualization tools such as Tableau, PowerBI, Qlik, BO Experienced in Supply Chain Analytics with a strong understanding of Demand Forecasting, Inventory Planning, and Order Management. Proficient in leveraging advanced analytics, machine learning, and optimization techniques to drive data-driven decision-making, improve forecast accuracy, optimize stock levels, and enhance order fulfillment efficiency Advanced proficiency in various programming languages is a must, such as R/SAS/Python/SQL/BigQuery Advanced knowledge of algorithm/modeling techniques is a must, such as Logistic Regression, Linear Regression, Clustering, Decision Trees, Randfom Forest, SVM, KNN etc. Advanced experience in deploying machine learning models on cloud services (Azure, AWS, GC etc.) Advanced experience in time series forecasting, boosting algorithms, optimization techniques, NLP, recommendation systems, ElasticNet Experience in data visualization software and packages (Prower BI, matplotlib, d3, highcharts) Advanced experience in Azure, Spark, and git-Basic as well as understanding of web application framework (Django, Flask, HTML, JavaScript, CSS, Ajax, jQuery etc.) Collaborative, pragmatic and proactive problem solver Proven ability to deliver initiatives from conception through to completion, sound understanding of the analytics ecosystem and value chain from both a business and a technical standpoint Ability to work independently and in cross-functional teams Strong business communication and presentation skills with proven experience managing executive-level communications Excellent organizational skills with the ability to prioritize workload Strong English language skills (Speaking, Reading and Writing) with exceptional business writing, Arabic is a plus Proficient in MS Office (Excel, Word, PowerPoint) Signature Of Role Holder Approved By Head Of Division/Department/Sec Head of Human Capital:

About the Role: Grade Level (for internal use): 12 The Team : As a leader in the EDO, Collection Platforms & AI – Cognitive Engineering team, you will own the vision and delivery of enterprise-scale Data Science and GenAI solutions that power natural language understanding, data extraction, information retrieval, data sourcing, and speech-to-text services for S&P Global. You will define the data science strategy, champion best practices, mentor across functions, and drive production-ready AI/ML products from ideation through deployment. You’ll work in a (truly) global team that values thoughtful risk-taking and self-initiative. What’s in it for you: Lead data science strategy and build solutions at enterprise scale Grow and mentor a world-class team of data scientists and ML engineers Solve high-complexity, high-impact problems end-to-end Define roadmaps for emerging AI capabilities (GenAI, ASR, speaker analytics) Responsibilities: Shape and execute the Data Science roadmap: tooling, methodologies, and best practices for ML, GenAI, and ASR Architect, develop, and deploy large-scale ML and GenAI pipelines-including Voice Activity Detection (VAD), Speaker Diarization, and ASR models-for automated transcription services Own the full data science lifecycle: opportunity identification, requirement gathering, modeling, evaluation, validation, deployment, monitoring, and optimization Lead exploratory data analysis, proof-of-concepts, benchmarking, and production model validation for both text- and speech-based AI solutions Establish and enforce coding standards, perform technical reviews, and optimize workflows for reproducibility and scalability Drive MLOps practices: CI/CD for models, feature stores, monitoring, alerting, and automated rollback strategies Mentor and develop junior and mid-level data scientists; foster a culture of continuous learning, innovation, and collaboration Partner with cross-functional stakeholders (Engineering, Product, IT, Compliance) to align on project goals, timelines, and SLAs Technical Requirements: 8+ years of hands-on experience in Data Science/AI, with at least 3 years in a senior or leadership role with strong hands on skills. Proven expertise in developing and deploying ASR systems: Training or fine-tuning end-to-end ASR models (e.g., Whisper, QuartzNet) Designing VAD pipelines for robust speech segmentation Implementing Speaker Diarization (e.g., Pyannote, UISR) and handling multi-speaker audio Optimizing transcription accuracy across accents, languages, and noisy environments Deep knowledge of large language models (OpenAI, Anthropic, Llama), prompt engineering, fine-tuning, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Strong understanding of ML & deep learning architectures: NLP transformers, GNNs, multimodal systems Solid grasp of statistics, probability, and the mathematics underpinning modern AI Track record of synthesizing cutting-edge research into production solutions Experience with orchestration and deployment tools: Docker, Kubernetes, Airflow, Redis, Flask/Django/FastAPI, PySpark, SQL, and cloud services (AWS/GCP/Azure) Openness to evaluate and adopt emerging technologies and languages as needed Good to have: Master's or Ph.D. in Computer Science, Electrical Engineering, Statistics, Mathematics, or related field Prior experience in the Economics/Financial industry, especially market-intelligence or risk analytics Public contributions on GitHub, Kaggle, StackOverflow, technical blogs, or publications Familiarity with speaker embedding techniques, speech enhancement, and noise-robust modeling 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: 317409 Posted On: 2025-07-01 Location: Gurgaon, Haryana, India

About the Role: Grade Level (for internal use): 11 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. What’s in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment tools: Docker, Airflow, Kubernetes, Redis, Flask/Django/FastAPI, PySpark, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor’s) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications 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 ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 317383 Posted On: 2025-07-01 Location: Gurgaon, Haryana, India

We are seeking a seasoned Integration Specialist with a strong background in Python, Shell scripting, and SaaS-based solutions to join our dynamic team. The ideal candidate will have a proven track record of designing and implementing scalable integration strategies across enterprise systems, with a focus on API-first architecture and cloud-native technologies. Key Responsibilities: · Develop, document, and evangelize Enterprise Integration Strategies aligned with business goals. · Understand and translate functional and technical requirements into robust integration solutions. “Proven experience in developing RESTful APIs using Flask or similar Python web frameworks. . Experience in API development using RESTful services. . Hands-on experience with Python web frameworks, preferably Flask, for building scalable APIs and integration solutions. · Design and implement integrations using a SaaS / API-first approach, leveraging RESTful services. · Collaborate with cross-functional teams to define integration requirements and architecture. · Deliver foundational services for enterprise integration including logging, monitoring, observability, and security compliance. · Build efficient exception handling and error notification mechanisms to ensure reliability and traceability. · Participate in technical design sessions and produce detailed technical documentation. · Conduct unit testing and support QA to ensure solutions meet business and technical expectations. · Maintain comprehensive operational, architectural, and design documentation. · Manage multiple tasks effectively and take ownership of assigned projects. Job Type: Contractual / Temporary Contract length: 12 months Location Type: In-person Schedule: Day shift Experience: Total: 9 years (Required) Work Location: In person

Python / C++ Developer Location: Hyderabad Experience: 3+ years About the Role Seeking a versatile developer proficient in both scripting and compiled languages to build and maintain backend and system-level software on Linux/UNIX environments. This role includes automation, performance tuning, and web programming. Key Responsibilities Design, develop, and optimize C++ code , focusing on efficiency, memory management, concurrency, and performance reddit.com+11toptal.com+11lemon.io+11 Write and maintain Python scripts for automation, backend services, and tooling reddit.com+2business.linkedin.com+2en.wikipedia.org+2 Work across UNIX/Linux platforms; develop shell scripts Implement or support web backend through PHP or Python frameworks (e.g., Flask/Django) Debug, profile, and troubleshoot using tools like GDB , Valgrind Collaborate in agile teams, follow Git-based version control, and integrate with CI/CD pipelines Required Skills 3+ years of professional experience in C++ and Python development Strong command over STL , memory management, multithreading/concurrency in C++ en.wikipedia.org+15lemon.io+15reddit.com+15 Proficient in Python scripting , backend logic, and automation business.linkedin.com Solid experience on UNIX/Linux systems and shell scripting Familiarity with web programming , REST APIs, PHP or Python web frameworks Experience with version control (Git, SVN, Mercurial) and unit testing Knowledge of debugging/profiling tools (GDB, Valgrind) Job Types: Full-time, Permanent, Fresher Location Type: In-person Schedule: Day shift Work Location: In person Speak with the employer +91 9600377933

Must-have skills: Proficiency in back-end technologies such as Node.js, Python (Django/Flask) Experience working with relational and non-relational databases (e.g., MySQL, PostgreSQL, MongoDB) Strong proficiency in JavaScript, TypeScript, or similar programming languages Experience with front-end frameworks (e.g., React.js, Angular, or Vue.js). Knowledge of RESTful APIs and/or GraphQL. Understanding of front-end and back-end architecture and design principles. Good-to-have skills: Basic knowledge of cloud platforms (e.g., AWS, Azure, or Google Cloud) and containerization tools like Docker or Kubernetes. Sound SDLC skills , preferably with experience in an agile environment Familiarity with modern development tools like Git, Docker, and CI/CD pipelines. Experience level: 2-4 years Must requirement - Candidates from Tier1 /Tier2 colleges should only apply Job Responsibilities: Write complex code to develop scalable, flexible, user-friendly applications across a robust technology stack. Evaluate potential technologies for adoption, including open-source frameworks, libraries, and tools. Construct, test, install, and maintain software applications. Contribute to the planning for acceptance testing and implementation of new software, performing supporting activities to ensure that customers have the information and assistance they need for a successful implementation.

eGrove Systems is looking for Django Developer to join its team of experts. Skill : Django Developer Exp : 4+Yrs NP : Immediate to 15Days Location : Chennai/Madurai Interested candidates can send your resume to annie@egrovesys.com Required Skills: - · 3+ years of Strong experience in Python & 2 years in Django Web framework. · Experience or Knowledge in implementing various Design Patterns. · Good Understanding of MVC framework & Object-Oriented Programming. · Experience in PGSQL / MySQL and MongoDB. · Good knowledge in different frameworks, packages & libraries Django/Flask, Django ORM, Unit Test, NumPy, Pandas, Scrapy etc., · Experience developing in a Linux environment, GIT & Agile methodology. · Good to have knowledge in any one of the JavaScript frameworks: jQuery, Angular, ReactJS. · Good to have experience in implementing charts, graphs using various libraries. · Good to have experience in Multi-Threading, REST API management. About Company eGrove Systems is a leading IT solutions provider specializing in eCommerce, enterprise application development, AI-driven solutions, digital marketing, and IT consulting services . Established in 2008 , we are headquartered in East Brunswick, New Jersey , with a global presence. Our expertise includes custom software development, mobile app solutions, DevOps, cloud services, AI chatbots, SEO automation tools, and workforce learning systems . We focus on delivering scalable, secure, and innovative technology solutions to enterprises, startups, and government agencies. At eGrove Systems, we foster a dynamic and collaborative work culture driven by innovation, continuous learning, and teamwork . We provide our employees with cutting-edge technologies, professional growth opportunities, and a supportive work environment to thrive in their careers.

Joining Gadgeon offers a dynamic and rewarding career experience that fosters both personal and professional growth. Our collaborative culture encourages innovation, empowering team members to contribute their ideas and expertise to cutting-edge projects. Job Title: Senior Python Backend Developer We are seeking a Senior Python Backend Developer with extensive experience in FastAPI, databases, and microservices architecture. The ideal candidate will have at least 4 years of backend development experience, demonstrate strong leadership capabilities, and be comfortable collaborating directly with clients to gather requirements and drive the development process. Experience with cloud platforms (AWS, GCP, or Azure) is highly desirable. Key Responsibilities: Design, develop, and maintain robust and scalable backend services using Python and FastAPI. Architect and implement microservices-based solutions, ensuring high availability and performance. Collaborate with front-end developers, DevOps engineers, and QA teams to deliver end-to-end solutions. Design and optimize database schemas, queries, and performance tuning (SQL and NoSQL). Lead a team of developers, mentor junior team members, and oversee code quality through code reviews. Gather and analyze technical and business requirements directly from clients and stakeholders. Contribute to architectural decisions and technology strategy. Ensure adherence to best practices in software development, security, and deployment. Monitor system health, troubleshoot issues, and drive continuous improvement. Required Skills and Qualifications: Minimum 4 years of professional experience in backend development using Python. Strong experience with FastAPI or similar modern Python frameworks (e.g., Flask, Django REST Framework). Deep understanding of RESTful APIs, asynchronous programming, and API versioning. Solid knowledge of relational (PostgreSQL, MySQL) and/or NoSQL databases (MongoDB, Redis). Expertise in designing and building microservices architectures. Familiarity with Docker, CI/CD pipelines, and version control systems (e.g., Git). Strong problem-solving skills and the ability to troubleshoot production issues. Excellent communication skills – both verbal and written. Proven ability to lead teams, manage tasks, and deliver projects on time. Insurance domain knowledge is preferred Preferred Qualifications: Experience with cloud services such as AWS, GCP, or Azure. Knowledge of event-driven architectures, message brokers (e.g., RabbitMQ, Kafka). Exposure to infrastructure as code tools (e.g., Terraform, CloudFormation). Prior experience working in Agile/Scrum environments. Experience: 4- 7 Years

3 - 5 Years 1 Opening Kochi, Trivandrum Role description Role Proficiency: Independently develops error free code with high quality validation of applications guides other developers and assists Lead 1 – Software Engineering Outcomes: Understand and provide input to the application/feature/component designs; developing the same in accordance with user stories/requirements. Code debug test document and communicate product/component/features at development stages. Select appropriate technical options for development such as reusing improving or reconfiguration of existing components. Optimise efficiency cost and quality by identifying opportunities for automation/process improvements and agile delivery models Mentor Developer 1 – Software Engineering and Developer 2 – Software Engineering to effectively perform in their roles Identify the problem patterns and improve the technical design of the application/system Proactively identify issues/defects/flaws in module/requirement implementation Assists Lead 1 – Software Engineering on Technical design. Review activities and begin demonstrating Lead 1 capabilities in making technical decisions Measures of Outcomes: Adherence to engineering process and standards (coding standards) Adherence to schedule / timelines Adhere to SLAs where applicable Number of defects post delivery Number of non-compliance issues Reduction of reoccurrence of known defects Quick turnaround of production bugs Meet the defined productivity standards for project Number of reusable components created Completion of applicable technical/domain certifications Completion of all mandatory training requirements Outputs Expected: Code: Develop code independently for the above Configure: Implement and monitor configuration process Test: Create and review unit test cases scenarios and execution Domain relevance: Develop features and components with good understanding of the business problem being addressed for the client Manage Project: Manage module level activities Manage Defects: Perform defect RCA and mitigation Estimate: Estimate time effort resource dependence for one's own work and others' work including modules Document: Create documentation for own work as well as perform peer review of documentation of others' work Manage knowledge: Consume and contribute to project related documents share point libraries and client universities Status Reporting: Report status of tasks assigned Comply with project related reporting standards/process Release: Execute release process Design: LLD for multiple components Mentoring: Mentor juniors on the team Set FAST goals and provide feedback to FAST goals of mentees Skill Examples: Explain and communicate the design / development to the customer Perform and evaluate test results against product specifications Develop user interfaces business software components and embedded software components 5 Manage and guarantee high levels of cohesion and quality6 Use data models Estimate effort and resources required for developing / debugging features / components Perform and evaluate test in the customer or target environment Team Player Good written and verbal communication abilities Proactively ask for help and offer help Knowledge Examples: Appropriate software programs / modules Technical designing Programming languages DBMS Operating Systems and software platforms Integrated development environment (IDE) Agile methods Knowledge of customer domain and sub domain where problem is solved Additional Comments: 4+ years of experience • Python AI development (Flask/Fast API) • Development experience using Microservices based architecture • Knowledge of Google Cloud Platform (GCP) or other cloud environments. • Familiarity with containerization and orchestration technologies such as Docker. • Experience with databases such as MySQL and search technologies like ElasticSearch. • Experience working with Queue-based systems (e.g., RabbitMQ, Kafka) is a plus. Skills Python,Flask,Docker About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Develop and implement AI and machine learning strategies for healthcare domains Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives Develop and run pipelines for data ingress and model output egress Develop and run scripts for ML model inference Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions Identify technical problems and develop software updates and fixes Develop scripts or tools to automate repetitive tasks Automate the provisioning and configuration of infrastructure resources Provide guidance on the best use of specific tools or technologies to achieve desired results Create documentation for infrastructure design and deployment procedures Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc. Lead and manage AI/ML teams and projects from ideation to delivery and evaluation Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s degree or higher in computer science engineering with a focus on language processing 8+ years of experience in Software Engineering, Data Science, or Analytics with 4+ years of experience in AI/ML engineering or related fields Experience in developing solutions in the NLP space and relevant projects Hands on Experience in AI and drive the development of innovative AI and machine learning solutions Experience with DevOps and CI/CD tools and practices, such as Git, Jenkins, Docker, Kubernetes, etc. Experience with Azure development environments Experience with using and deploying LLMs Knowledge of NLP literature, thrust areas, conference venues, and code repositories Familiarity with both open-source and OpenAI LLMs and RAG architecture Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering. Proficient in Python and one of PySpark. Familiarity with python tools for data processing Proficiency in Python, R, or other programming languages for data analysis and AI/ML development Proven ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML) Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions Proven hands-on skills with repository management and GPU use, and the ability to rapidly set up NLP pipelines for testing new ideas At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

About the Role: Grade Level (for internal use): 11 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. What’s in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment tools: Docker, Airflow, Kubernetes, Redis, Flask/Django/FastAPI, PySpark, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor’s) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications 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 ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 317383 Posted On: 2025-07-01 Location: Gurgaon, Haryana, India

Should be having 6 to 8 years of industry experience. Strong with libraries like Pandas, Numpy, Scipy etc. OR should have good exposure on file handling in Python Strong querying data from database(i.e. oracle etc.) using database query language like SQL, MYSQL Strong basic python concepts (like list, tuple, dictionary etc. ) and Object orient programming in Python (like classes etc.) Should have knowledge of at least one python framework (like flask etc.) Experience with Linux/Unix environment along with knowledge of basic Linux commands (i.e cut, sort, uniq etc.) Mandatory Competencies Python - Numpy Python - Panda Python - Python UI - Angular 2+ Others - Micro services Java - Core JAVA Database - SQL Database - MySQL Java - Unix Java - Linux Beh - Communication and collaboration

Job description About this role BlackRock Overview: BlackRock is a global asset manager and technology provider. Our purpose is to help more and more people experience financial well-being. We help millions of people invest to build savings that serve them throughout their lives. We make investing easier and more affordable. We advance sustainable investing because our conviction is it delivers better outcomes for investors. We contribute to a more resilient economy that benefits more people. Together with our clients, we’re contributing to a more equitable and resilient world – today and for generations to come. That’s why, we’re asking bigger questions – of ourselves, our industry, and the world at large. Questions that challenge convention and give rise to new thinking. Because the bigger questions we ask, the bigger actions we can take. For more information visit www.blackrock.com Reporting and Distribution Services overview: Reporting and Distribution Services under the larger Global Client Services umbrella is responsible for the preparation and delivery of sophisticated economic and financial analysis to a diverse client base. Portfolio performance, attribution and investment commentary as well as detailed risk analytics are provided to clients through formal periodic reporting and web delivery. In addition, Reporting Services is responsible for partnering with multiple upstream data providers ranging across Data & AI, Accounting, Performance and regional investment and product strategy teams. All teams play a role in delivering a better client outcome to ensure service is a true differentiator for BlackRock. As a global leader, BlackRock’s principles inform and drive our efforts. We operate our business with a fiduciary mindset, focused on putting our client’s interest first; We are passionate about our work and intensely focused on performing at the highest levels; We challenge ourselves and each other to collectively raise our game; And we focus on continuous innovation to bring the best of BlackRock to our clients. Client Reporting Engineering (CRE) Overview CRE is composed of software developers that build python-based solution to produce complex reporting for BLK institutional clients globally. The team currently leverages Python, Compute, SQL, Streamlit, Flask to source, persist, transform, and build reports. You will support a growing area in a dynamic and ambitious environment. You will work closely with Investment teams, Portfolio Managers and various engineering teams within BlackRock to meet complex reporting requirements while achieving efficiency at scale. Our team is known for: Being passionate about technology and solving complex problems Being from diverse industries and academic backgrounds Developing in Java, Python, Cassandra, Kubernetes, Azure, Kafka, Docker, a host of languages and open-source technologies Domain SMEs to build, test and provide 24/7 support for Aladdin. Being technology leaders that unlock incremental innovation and drive technology culture at BlackRock Roles & Responsibilities Gain a broad understanding of the investment process and the capabilities of Aladdin Understanding clients’ reporting needs from collaborators, fielding and responding to queries and the creation of accurate and meaningful reports by translating requirements into strategic logic. Understand the flow of client, market and fund information across BlackRock and external data providers Enable customized and standard report creation by analyzing and researching client, market, and fund data along with related information Support various projects, including automation/standardization efforts and the evolution of standard deliverables. Demonstrating proficiency in programming languages like SQL, Python, React, Angular etc. Become a life-long learner through our BlackRock Academies Work closely with senior engineers developing specific parts of the Aladdin platform. Take ownership of projects from development/testing/support perspective and watch your creations be released to thousands of users Build, test & use automation engineering solutions for ensuring best in class Quality for our deliverables to end clients Collaborate with colleagues to build innovative products during firm wide hackathons Meet smart, fun people through volunteering, employee and professional networks, and every-day interactions. Take your interpersonal skills to the next level by collaborating with Senior Leaders on BlackRock’s Internal Network/Forums. Experience Graduate / Postgraduate degree in Computer Engineering or equivalent, with at least 1-3 years of experience. Prior experience in investment management will be preferred. Working experience in Python, React, Angular will be preferred. Exceptional written and verbal communication skills are essential Excellent attention to detail, extremely accurate and well organized Strong analytical and problem-solving skills with the ability to creatively synthesize information, summarize issues, and think in an unexpected way Sharp control/risk mitigation mentality with ability to know when to advance issues Ability to operate effectively under tight deadlines and to prioritize work with strong emphasis on time management Should be a great teammate with abilities and desire to work in a team environment, willingness to ask questions but also to learn independently. Happy to work in flexible shift timings across all three regions. Competencies Ability to effectively represent internally and externally, with confidence in engaging with internal and external collaborators across investment managers, product strategy and client business groups Ability to develop strong and trusting relationships Strong attention to detail Strong research and writing skills to clearly articulate sophisticated concepts, ideas, and processes. Integrity and fiduciary, strong work ethic and professional disposition. Strong level of self-direction, ownership, organization and initiative. Teamwork oriented with proven organizational skills and ability to manage multiple objectives simultaneously. Able to influence without authority. Deal with colleagues in a diplomatic and persuasive manner and multi-task in a busy and varied environment. A strong team ethic Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law. Job Requisition # R255174

Job requisition ID :: 85231 Date: Jul 1, 2025 Location: Delhi Designation: Manager Entity: Deloitte South Asia LLP We are looking for a highly skilled and experienced Generative AI with expertise in Python, Machine Learning, Data Science, and Statistics. The ideal candidate should have a strong background in Generative AI, NLP (Natural Language Processing), and conversational chatbot development. Additionally, experience with Lang Chain, Langraph, using LLM's and proficiency in cloud platforms like GCP, Azure, AWS is required. The candidate should also have a basic understanding of application deployments using frameworks such as Flask, Django, Fast API As a Generative AI Senior Consultant, you will be responsible for delivering innovative AI solutions to our clients. Your role will involve: Design, develop, and deploy generative AI models. Leveraging your expertise in Generative AI, Python, Machine Learning, Data Science, and Statistics to develop cutting-edge solutions for our clients. Utilizing NLP techniques, Lang Chain, and LLM's to develop conversational chatbots and language models tailored to our clients' needs. Collaborating with cross-functional teams to design and implement advanced AI models and algorithms. Providing technical expertise and thought leadership in the field of Generative AI and NLP to guide clients in adopting AI-driven solutions. Conducting data analysis, preprocessing, and modeling to extract valuable insights and drive data-driven decision-making. Staying up to date with the latest advancements in AI technologies, frameworks, and tools, and proactively learning and adopting new technologies to enhance our offerings. Demonstrating a strong understanding of cloud platforms, particularly GCP, for deploying AI applications. Should have strong knowledge and experience in working with Deep Learning projects using CNN, GAN, Transformers, Encoder and decoder algorithms or any other image generation and classification use cases. Familiarity with LLM's (Large Language Modeling) and their applications. Proficiency in cloud platforms like GCP/Azure/AWS, including experience with deploying AI applications. Solid programming skills in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Experience in developing web applications using frameworks such as Flask, Django, Fast API. Proven track record of delivering successful AI projects and driving business impact. Excellent communication, presentation, and documentation skills. Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies. Ability to work independently, manage multiple projects simultaneously, and collaborate effectively with diverse stakeholders.