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Job Description Business Unit: Data Science Function: Center of Statistical and Data Science Research – Non Cooperator Estimation Role: Lead Data Scientist / Sr Data Scientist Location: Vadodara, India In 100 countries around the world, NielsenIQ provides clients the most complete understanding of how the FMCG market evolves and what consumers buy. As a global leader in measurement and information, we believe providing our clients a precise understanding of the consumer is the key to making the right decisions -- decisions that can lead to profitable growth. At NielsenIQ, we’re always innovating to keep pace with emerging market trends and the increasingly diverse, demanding and connected consumer. Being a Lead Data Scientist in the Center of Statistical and Data Science Research, you will play a critical role in developing and implementing the next generation of solutions we offer our clients, powered by algorithms and AI and leveraging large volumes of internal data, client data and third party data. You’ll be actively participating with other team members in the overall Product creation process. From ideation through Proof Of Concept and experimenting for methodological development, to output visualization and fine tuning the setup to take into account different market specifics. You will be learning and exploring the newest technologies & applications for data streaming, data architecture, and data modelling solutions. You’ll work alongside a group of talented individuals with different areas of expertise including best in class data scientists, product managers, and data collection specialists with the main purpose of accelerating innovation. On a daily basis you’ll be expected to: Ideate and develop solutions for the product innovation pipeline Build statistical and analytical models (including ML/AI approaches) as prototypes and POCs to address specific client business needs Adapt implementation and fine tune the setup of these models to new markets, new projects Support productionizing those models by writing specifications to our Technology teams, supporting the development and testing the production implementation against your prototypes Document the solution and experimentation to arrive to it, and create specifications for Technology team to productionize it Refine and enhance product features Maintain data integrity and quality throughout the development lifecycle Read, write, comment, maintain, and share legible and quality computer code utilized in prototyping and solutioning Qualifications Role requirements: E=essential, P=preferred E - Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, Engineering or related field with requiring outstanding analytical expertise and strong technical background E - 2+ years of experience in data science/analytics related product development and/or data solutions development E - Knowledge of statistical and machine learning methodologies: Sampling theory, Probability Theory, Variation analysis, Outlier identification techniques, Regressions, Classification, Time series analysis, Clustering, Neural Networks, etc E – Ability to lead prototyping as well as supporting pilot programs for R&D purposes. The primary areas include – but not limited to – trend analyses, identifying gaps for improvements in coverage, representation/ sampling, bias reduction, indirect estimation, data integration, automation, generalization, harmonization as well as working with different data sources E - Proficient in Python/ R/ SQL or other statistical packages as well as version control P - Ability to lead and influence with other functional areas as a team and deliver results on time and per-spec P - Experience with Cloud computing, ETL, advanced data processing techniques (Spark, Hadoop, etc.) P - Experience working on Agile teams P - Domain in managing clients and proven experience of solving complex client requirements P -Strong Communication skills and ability to present and explain methodological and operational solutions to executive leadership Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

About the Company We are a Cochin based ISO certified Software Development company, incorporated in January 2003. We are specialised in providing real-time solutions in the field of System Software, Web Development, and Embedded Systems with a clientele spread across United States, Europe and the Middle East. Leveraging the valuable experience obtained over the years, Quest formed its IT Training division intended to deliver modern day training programs on domains like Embedded Systems, PYTHON .NET, JAVA , DATA SCIENCE ,ML, AI & DATA ANALYTICS . For more details visit www.qisacademy.com Ready to turbocharge your IT career with a sky-high salary? Introducing the ultimate solution: QIS Academy! Get ready for: Cutting-edge Technical Training led by top-notch professionals, completed in just 3-4 months! CANDIDATES SHOULD BE FLUENT IN ENGLISH AND MALAYALAM LANGUAGES Specialized Interview Coaching to crack those critical interviews! Placement Support until you land your dream job! That's our promise!! Our biggest highlight: In-demand technologies like- Data Science and AI, Data Analytics, Embedded and Automotive Systems , Python Full Stack Development ,Java Full Stack Development, PHP Full Stack Development, DOT NET Full Stack Development Hands-on experience guaranteed, even for beginners! Why choose us? Trusted by top IT companies: Celebrating 24 years as the #1 IT Training Institute! Unparalleled Placement Success: 500+ IT companies trust our dedicated team 6300+ successful placements and counting! Stop guessing and make that all-important decision today! Job Types: Full-time, Fresher, Part-time, Internship, Contractual / Temporary Contract length: 6 months Benefits: Commuter assistance Internet reimbursement Schedule: Day shift Evening shift Weekend availability Education: Bachelor's (Preferred) Language: Malayalam (Preferred) Location: Ernakulam, Kerala (Preferred) Work Location: In person Job Types: Full-time, Internship Pay: From ₹15,000.00 per month Schedule: Day shift Monday to Friday Work Location: In person Job Type: Full-time Pay: From ₹15,000.00 per month Schedule: Day shift Work Location: In person

📢 Job Opportunity at PhysicsWallah Position: Weekend Instructor – Data Science (Grades 11 & 12) Employment Type: Part-Time (Weekend-Based) Location: Remote (Work From Home) Company: PhysicsWallah About the Program :PhysicsWallah is launching a 1-year and 2-year structured Data Science Program tailored for students of Grades 11 & 12. The curriculum is focused on building computational thinking, Python programming skills, real-world data handling, AI/ML concepts, and project-based learning. Each program culminates in a capstone data-driven project to enhance practical application . Key Responsibilitie s:Deliver interactive and hands-on weekend sessions (Saturday & Sunday) as per the provided curriculu m. Teach core topics li ke:Python Programm ingWeb Scrap ingData Analysis using Pandas & Nu mPyData Visualization (Matplotlib, Seabo rn)Introduction to Databases (MyS QL)AI/ML fundament alsFacilitate collaborative coding exercises and mentor students through project wo rk.Track student performance and provide actionable feedback on assignments and capstone projec ts.Coordinate with academic teams to ensure structured delivery and curriculum alignme nt.Be available during class hours for doubt-clearing, mentoring, and academic suppo rt. Requireme nts:Must-H ave:Proficiency in Python, Data Analysis Libraries (Pandas, NumPy), Data Visualization (Matplotlib), Databases (MySQL), and basics of AI /ML.Hands-on experience with real-world data projects and capstone-style applicati ons.Prior teaching or mentoring experience, preferably with high-school or early-college stude nts.Strong communication, empathy, and ability to break down complex concepts into easy-to-understand less ons.Bachelor's degree (or in final year) in Data Science, Computer Science, Engineering, or related fie lds. Nice-to- Have:Familiarity with cloud-based platforms, Jupyter notebooks, or tools like Streamlit, Pl otly.Experience in EdTech or school-based academic instruc tion.Portfolio of educational content, YouTube tutorials, or teaching sam ples. Weekly Commi tment:~6–8 hours per weekend (including class delivery, prep, and student interac tion).Approx. 192 hours annually + project mento rship. Compen sation:Competitive pay (hourly/monthly based on exper ience).

Sprinklr is a leading enterprise software company for all customer-facing functions. With advanced AI, Sprinklr's unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel. Headquartered in New York City with employees around the world, Sprinklr works with more than 1,000 of the world’s most valuable enterprises — global brands like Microsoft, P&G, Samsung and more than 50% of the Fortune 100. Learn more about our culture and how we make our employees happier through The Sprinklr Way. Responsibilities Job Description Set Research Direction: Define and execute a forward-looking ML research agenda aligned with company strategy and business objectives and technological innovation. Drive Key Research in relevant areas of Sprinklr: Self-learning AI Agents, Auto Evaluation of AI Agents, Taxonomy discovery and quality, End-to-end voice models, Multi-linguality, Multi-modality, Domain-Specific finetuning and alignment, etc. Advance the State of the Art: Guide research initiatives in areas such as deep learning, generative models, NLP, and reinforcement learning. Encourage and support filing patents and publications in top-tier venues (NeurIPS, ICML, ACL, CVPR, IEEE etc.). Bridge Research and Product: Collaborate with engineering and product teams to transition research into real-world applications. Champion best practices in experimentation, reproducibility, and scalability. Lead and Grow the Team: Mentor and manage a high-performing team of ML researchers and engineers. Foster a culture of curiosity, rigor, and excellence. Act as a Thought Leader: Stay ahead of emerging trends and shape the company's position in the global AI landscape. Evangelism: Serve as a subject matter expert internally and externally. Represent the company in academic and industry events, talks, and panels. Qualifications Deep expertise in modern ML techniques, especially large-scale learning, generative models, or foundational models. Experienced with synthetic dataset generation for production and quantization. PhD in Computer Science, Machine Learning, or a related field. 8+ years of experience in ML/AI, including 4+ years in a leadership role. Proven track record of impactful research contributions, including publications, patents, or open-source work. Strong knowledge of cloud platform technologies and MLops tools such as CUDA, K8s, Docker, PyTorch, TensorRT, etc. Strong leadership and communication skills, with experience managing senior researchers and cross-functional collaboration. Ability to align research investments with business strategy and measurable outcomes. Why You'll Love Sprinklr: We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world. For more information on Sprinklr Benefits around the world, head to https://sprinklrbenefits.com/ to browse our country-specific benefits guides. We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world’s most loved enterprise software company, ever. We believe in our product: Sprinklr was built from the ground up to enable a brand’s digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them. We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks, virtual fitness, and access to Headspace. We have continuous learning opportunities available with LinkedIn Learning and more. EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we’re more innovative, creative, and successful. Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr’s EEO Policy and EEO is the Law.

Senior Full-Stack Developer (MERN, Python, DevOps, AI Integration) – EdTech Innovation Team About Us We are an innovative EdTech company committed to developing cutting-edge learning platforms, AI-powered web portals, and advanced LMS solutions. Our platforms cater to millions of users, and high availability, performance, and scalability are non-negotiable. We seek a Senior Full-Stack Developer who not only excels in development but also ensures zero downtime, even when millions of users access our platforms simultaneously. This role demands an expert in DevOps, hosting, and scalability to guarantee seamless user experience, 24/7 system reliability, and zero tolerance for complacency. If you are highly motivated, alert, and thrive in high-performance environments, we want you on our team! Role & Responsibilities As a Senior Full-Stack Developer, you will: Ensure 100% uptime and flawless performance of all LMS platforms, AI-based portals, and websites, even under extreme user loads. Architect and develop scalable, high-performance applications using MERN (MongoDB, Express, React, Node.js) and Python (Django/Flask). Optimize cloud infrastructure and implement auto-scaling, load balancing, and caching strategies to handle millions of users. Deploy and manage fault-tolerant architectures using AWS, Azure, Kubernetes, Docker, and CI/CD pipelines. Monitor system health, detect anomalies, and prevent downtime using real-time analytics and DevOps tools. Develop AI-powered learning features and integrate them seamlessly into our platforms. Implement the highest security standards to protect data, prevent breaches, and mitigate risks. Lead troubleshooting efforts, diagnose performance bottlenecks, and resolve issues before they impact users. Use GitHub, Postman, and testing frameworks to maintain code quality and CI/CD best practices. Stay ahead of the curve with the latest AI, cloud, and DevOps advancements. Must-Have Skills ✅ Expertise in High-Performance, Scalable Hosting & DevOps (AWS, Azure, Docker, Kubernetes, CI/CD, Load Balancing, Auto-Scaling) ✅ MERN Stack Mastery (MongoDB, Express, React, Node.js) ✅ Python Development (Django, Flask) ✅ AI & ML Integration (OpenAI, TensorFlow, PyTorch) ✅ Traffic & Performance Optimization (Caching, Database Optimization, WebSockets, Redis) ✅ Zero Downtime Deployment & Monitoring (New Relic, Grafana, Prometheus, ELK Stack) ✅ Version Control & Testing (Git, GitHub, Postman, Cypress, Jest) ✅ Security & Reliability Engineering (DDoS Protection, Server Hardening, Secure APIs) ✅ Proactive, Highly Motivated, Quick Learner, and Alert Preferred Qualifications Experience in handling high-traffic applications with millions of users . Strong understanding of distributed computing, microservices, and cloud architecture . Prior work in EdTech, e-learning platforms, or AI-driven educational tools . Passion for building stable, secure, and cutting-edge learning platforms Why Join Us? Build and scale platforms used by millions worldwide Be part of a high-performance, AI-powered EdTech revolution Flexible work environment with room for innovation Job Type: Full-time Pay: ₹35,000.00 - ₹55,000.00 per month Location Type: In-person Schedule: Day shift Work Location: In person

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: Airflow, Redis, Flask/Django/FastAPI, 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: 317406 Posted On: 2025-07-06 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 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: 317426 Posted On: 2025-07-06 Location: Gurgaon, Haryana, India

Department: Training & Academics Specialization: Data Science/ Data Analytics/ Artificial Intelligence / Machine Learning. Location: Technovalley Software India Pvt Ltd, Ernakulam Type: Full-time Job Summary: We are seeking a highly experienced Senior Technical Consultant to lead and support our Training Division in the domains of Data Science,Data Analytics AI, and Machine Learning. The ideal candidate should have a strong academic background, curriculum development expertise, deep industry knowledge, and proven experience in training delivery, system adherence, and project management. This role plays a key part in shaping the future of learners and aligning training programs with industry standards. Key Responsibilities: Design, develop, and continuously update curriculum and course materials in Python,Data Science, Data Analytics,AI, and ML. Conduct advanced training sessions for students and professionals across varied levels of expertise. Ensure training delivery follows institutional and industry-standard systems and protocols. Lead and manage academic projects, capstone implementations, and research-based assignments. Collaborate with cross-functional teams to align training content with current industry needs. Mentor junior trainers and provide technical guidance to improve training effectiveness. Evaluate learner progress and provide actionable feedback to improve performance. Stay current with the latest trends and technologies in Data Science, AI, and ML. Contribute to accreditation, quality audits, and compliance processes. Develop partnerships with industry experts and academic collaborators to enhance learning outcomes. Requirements: Master’s or Ph.D. in Data Science, Artificial Intelligence, or related fields. Minimum 3+ years of experience in training, consulting, or applied industry roles in Data Science/AI/ML. Demonstrated experience in curriculum design and training content development. Strong command over tools and technologies such as Python, R, TensorFlow, Scikit-learn, SQL, etc. Experience in project management, especially in academic or training environments. Knowledge of academic systems, evaluation metrics, and training frameworks. Excellent communication, presentation, and mentoring skills. Certifications like Microsoft AI Engineer, TensorFlow Developer, or equivalent are a plus. Preferred Skills: Exposure to EdTech platforms and LMS tools. Publications, whitepapers, or recognized research work in AI/ML domains. Hands-on experience with real-world projects and datasets. Ability to adapt content for various audiences — from students to corporate trainees. Why Join Us? Opportunity to lead innovation in AI/ML education. Collaborative and growth-oriented work culture. Direct impact on shaping the skills of the next generation of tech professionals. Job Type: Full-time Work Location: In person

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 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: 317426 Posted On: 2025-07-06 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: Airflow, Redis, Flask/Django/FastAPI, 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: 317407 Posted On: 2025-07-06 Location: Gurgaon, Haryana, India

5 days/week from Hyderabad (1st pref) Or Gurgaon (2nd pref). Fulltime and Immediate joiners JOB SUMMARY We are seeking an experienced Lead Software Engineer (Tech Lead) with 10+ years of professional experience to lead design and development of high-quality software solutions using industry best practices within our engineering team. The ideal candidate will oversee technical design and development across teams ensuring collaboration and adherence to agile principles delivering enterprise level high-quality solutions on time ensuring industry best practices. This role is responsible for defining and executing the technical roadmap for SmartFM product. SmartFM is an advanced facility management platform designed to ingest data from multiple sources, process it efficiently, and provide a unified view of operational matrices. With built-in AI/ML algorithms, the platform offers analytics-driven insights, raises alerts and alarms, and recommends actions to optimize building operations. The individual will serve as a technology leader, fostering the delivery of world-class product solutions to deliver the highest value to the business. The successful individual will utilize strong leadership skills and deep expertise, while exhibiting learning agility to promote open-source solutions. ROLES AND RESPONSIBILITIES Leads and orchestrates the design and development of advanced technical systems, ensuring robust, scalable, and innovative solutions while collaborating seamlessly across diverse teams ensuring the timely and effective delivery of high-quality technical solutions. Facilitates and drives solution design sessions, producing comprehensive documentation and maintaining transparent communication with stakeholders, including clients and senior management. Engages closely with clients on strategic projects, building lasting partnerships and delivering cutting-edge technical solutions tailored to their needs. Serves as the primary technical authority for high-impact engagements, offering strategic guidance and insights on critical aspects of the organization's technical infrastructure. Collaborates with internal teams and external partners to design and implement effective system and data integrations, ensuring alignment with strategic objectives. Spearheads the design and delivery of new product features to address business needs, contributing hands-on to the coding, development and deployment processes. Provides mentorship and technical leadership to the team, conducting code reviews, fostering a culture of excellence, and driving skill enhancement across the team. Oversees the management and performance of production systems and databases, ensuring reliability, scalability, and uninterrupted operation. Diagnoses and resolves complex technical, data, and software challenges, guiding troubleshooting efforts to maintain and enhance product performance in dynamic environments. Assesses emerging tools, platforms, and technologies, advocating for innovation and implementing best practices to improve system capabilities and efficiency. REQUIRED TECHNICAL SKILLS AND EXPERIENCE Proficient in application development languages and frameworks such as React, Node.js, Nest.js, C#, MS SQL, and T-SQL Skilled in utilizing DEVOPS tools, including Azure DevOps (ADO), Jenkins, Maven, Gradle, Docker, and Azure Pipelines. Expertise in programming languages like Java/Spring, .Net, AngularJS, Python, Go, and Swift, both on cloud platforms and devices. Extensive experience with Azure and AWS cloud technologies, including designing and deploying globally accessible, scalable applications. Strong background in mobile application development. Advanced knowledge of Agile methodologies for application development. Demonstrated expertise in application modernization by transitioning legacy systems to contemporary architectures, such as microservices, APIs, and always-on designs, with an emphasis on leveraging cloud technologies. Proven hands-on experience with MongoDB, including schema design, data ingestion pipelines, and data aggregation ADDITIONAL QUALIFICATIONS Proven expertise in written and verbal communication, adept at simplifying complex technical concepts for both technical and non-technical audiences. Strong problem solving and analytical skills. Experienced in collaborating and communicating seamlessly with diverse technology roles, including development, support, product management, and systems administration. Experience with IBM StreamSets Highly motivated to acquire new skills, explore emerging technologies, and stay updated on the latest trends in software development and business needs. LEADERSHIP RESPONSIBILITIES This position will not have formal management responsibilities for software engineer team members, as well as management and coordination of any vendor or contract resources related to product development. EDUCATION REQUIREMENTS / EXPERIENCE Bachelor’s (BE / BTech) / Master’s degree (MS/MTech) in computer science, information systems, mathematics or related field Job Types: Full-time, Permanent Pay: ₹3,000,000.00 - ₹3,500,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Evening shift Supplemental Pay: Performance bonus Application Question(s): Are you an immediate joiner? Yiur current CTC? Work Location: In person

Sprinklr is a leading enterprise software company for all customer-facing functions. With advanced AI, Sprinklr's unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel. Headquartered in New York City with employees around the world, Sprinklr works with more than 1,000 of the world’s most valuable enterprises — global brands like Microsoft, P&G, Samsung and more than 50% of the Fortune 100. Learn more about our culture and how we make our employees happier through The Sprinklr Way. Job Description Responsibilities Set Research Direction: Define and execute a forward-looking ML research agenda aligned with company strategy and business objectives and technological innovation. Drive Key Research in relevant areas of Sprinklr: Self-learning AI Agents, Auto Evaluation of AI Agents, Taxonomy discovery and quality, End-to-end voice models, Multi-linguality, Multi-modality, Domain-Specific finetuning and alignment, etc. Advance the State of the Art: Guide research initiatives in areas such as deep learning, generative models, NLP, and reinforcement learning. Encourage and support filing patents and publications in top-tier venues (NeurIPS, ICML, ACL, CVPR, IEEE etc.). Bridge Research and Product: Collaborate with engineering and product teams to transition research into real-world applications. Champion best practices in experimentation, reproducibility, and scalability. Lead and Grow the Team: Mentor and manage a high-performing team of ML researchers and engineers. Foster a culture of curiosity, rigor, and excellence. Act as a Thought Leader: Stay ahead of emerging trends and shape the company's position in the global AI landscape. Evangelism: Serve as a subject matter expert internally and externally. Represent the company in academic and industry events, talks, and panels. Qualifications Deep expertise in modern ML techniques, especially large-scale learning, generative models, or foundational models. Experienced with synthetic dataset generation for production and quantization. PhD in Computer Science, Machine Learning, or a related field. 8+ years of experience in ML/AI, including 4+ years in a leadership role. Proven track record of impactful research contributions, including publications, patents, or open-source work. Strong knowledge of cloud platform technologies and MLops tools such as CUDA, K8s, Docker, PyTorch, TensorRT, etc. Strong leadership and communication skills, with experience managing senior researchers and cross-functional collaboration. Ability to align research investments with business strategy and measurable outcomes. Why You'll Love Sprinklr: We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world. For more information on Sprinklr Benefits around the world, head to https://sprinklrbenefits.com/ to browse our country-specific benefits guides. We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world’s most loved enterprise software company, ever. We believe in our product: Sprinklr was built from the ground up to enable a brand’s digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them. We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks, virtual fitness, and access to Headspace. We have continuous learning opportunities available with LinkedIn Learning and more. EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we’re more innovative, creative, and successful. Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr’s EEO Policy and EEO is the Law.

Essential Qualifications B.Tech. / B.E. degree in (CSE/IT or any other relevant branch) with GATE qualified or B.E./B.Tech. and M.E./M.Tech. in Computer Sc. & Engg. / Information Technology/EE/ETE/ Data Science/ AI/ML or any other relevant branch or MCA/MSc (Computer Science/IT) equivalent from an Institute of National Importance/AICTEapproved University/Institution with minimum 65% marks or 7.0 CGPA (out of 10). Note: Preference will be given for GATE/NET qualified candidates Desirable Qualifications Candidates with strong knowledge and hands-on experience in Machine Learning, Deep Learning, Web technologies and Python will be given preference. How to Apply Fill out the Google Form (https://forms.gle/Ftrdh2t7D9E5pER96) with complete academic and professional details. Bring the printed application along with self-attested copies of DOB certificate, degree/provisional certificate, mark sheets, NET/GATE scorecard, caste certificate, NOC, and other relevant documents. Originals must be presented for verification. The application must be submitted via Google. For queries, contact psingh.cs@nitrr.ac.in (PI) at 9407627366. Walk in Interview Schedule and venue 16th July , 2025, from 11.00AM onwards, Department of Computer Science & Engineering, NIT Raipur. Chief Investigator Co-Investigator Dr. Pradeep Singh Associate Professor & HoD Department of Computer Sc & Engineering, NIT Raipur E-mail: psingh.cs@nitrr.ac.in, Mobile-9407627366 Dr. Bikesh Kumar Singh, Associate Professor, Department of Biomedical Engineering, NIT Raipur Job Types: Full-time, Contractual / Temporary Contract length: 24 months Pay: ₹40,000.00 - ₹43,600.00 per month Work Location: In person Application Deadline: 16/07/2025

Thermax House, Pune, Maharashtra, India Department TL_EF_BTG_Corporate Functions Job posted on Jul 04, 2025 Employment type Employee Job Details: Position: Lead Data Scientist Division & Department: Enabling Functions_Business Technology Group (BTG) Reporting To: Commercial and Customer Experience Products Leader Educational Qualifications: Degree in Data Science, Computer Science, Engineering, Statistics, or related field with 8 to 10 years of relevant work Experience. Role and Responsibilities: Collaborate with business stakeholders and product managers to develop data science strategies tailored to business and customer needs Design, build, and deploy scalable, production-ready machine learning and statistical models focused on real-time IoT data streams and predictive analytics. Develop end-to-end ML pipeline encompassing Data Engineering, Data Analytics, Feature Engineering, model building, and validation. Leverage large volumes of industrial sensor and operational data to develop insights that enhance equipment reliability, operational efficiency, and customer satisfaction. Oversee data quality, model performance, and continuous improvements in data analytics processes within the IoT platform. Guide and support process engineers in modeling ML pipelines, ensuring seamless integration into production environments Lead end-to-end product feature development using Python and model development, including. MLOps Critical Competencies: Proven experience leading data science projects, preferably in Industrial IoT, manufacturing, or related domains. Strong proficiency in machine learning algorithms, statistical modelling, and data analysis techniques applied to sensor or time-series data. Programming Languages/Databases - MongoDB, MySQL, Python Packages- Pandas, Numpy, SkLearn, Scikit-learn Analytical Platform - Tableau or Power BI Cloud Platforms - Azure or AWS, or Databricks Must have a deeper understanding of Regression, Classification, and Clustering Algorithms Experience in building Machine Learning and Deep Learning end-to-end pipelines on cloud (AWS/Azure) Ability to lead initiatives independently, think strategically, and communicate clearly with both technical and non-technical teams. Demonstrate customer focus, willingness to learn, and adapt to new technologies and unique challenges

Syensqo is all about chemistry. We’re not just referring to chemical reactions here, but also to the magic that occurs when the brightest minds get to work together. This is where our true strength lies. In you. In your future colleagues and in all your differences. And of course, in your ideas to improve lives while preserving our planet’s beauty for the generations to come. Join us at Syensqo, where our IT team is gearing up to enhance its capabilities. We play a crucial role in the group's transformation—accelerating growth, reshaping progress, and creating sustainable shared value. IT team is making operational adjustments to supercharge value across the entire organization. Here at Syensqo, we're one strong team! Our commitment to accountability drives us as we work hard to deliver value for our customers and stakeholders. In our dynamic and collaborative work environment, we add a touch of enjoyment while staying true to our motto: reinvent progress. Come be part of our transformation journey and contribute to the change as a future team member. We are looking for: As a Data/ML Engineer, you will play a central role in defining, implementing, and maintaining cloud governance frameworks across the organization. You will collaborate with cross-functional teams to ensure secure, compliant, and efficient use of cloud resources for data and machine learning workloads. Your expertise in full-stack automation, DevOps practices, and Infrastructure as Code (IaC) will drive the standardization and scalability of our cloud-based data and ML platforms. Key requirements are: Ensuring cloud data governance Define and maintain central cloud governance policies, standards, and best practices for data, AI and ML workloads Ensure compliance with security, privacy, and regulatory requirements across all cloud environments Monitor and optimize cloud resource usage, cost, and performance for data, AI and ML workloads Design and Implement Data Pipelines Co-develop, co-construct, test, and maintain highly scalable and reliable data architectures, including ETL processes, data warehouses, and data lakes with the Data Platform Team Build and Deploy ML Systems Co-design, co-develop, and deploy machine learning models and associated services into production environments, ensuring performance, reliability, and scalability Infrastructure Management Manage and optimize cloud-based infrastructure (e.g., AWS, Azure, GCP) for data storage, processing, and ML model serving Collaboration Work collaboratively with data scientists, ML engineers, security and business stakeholders to align cloud governance with organizational needs Provide guidance and support to teams on cloud architecture, data management, and ML operations. Work collaboratively with other teams to transition prototypes and experimental models into robust, production-ready solutions Data Governance and Quality: Implement best practices for data governance, data quality, and data security to ensure the integrity and reliability of our data assets. Performance and Optimisation: Identify and implement performance improvements for data pipelines and ML models, optimizing for speed, cost-efficiency, and resource utilization. Monitoring and Alerting Establish and maintain monitoring, logging, and alerting systems for data pipelines and ML models to proactively identify and resolve issues Tooling and Automation Design and implement full-stack automation for data pipelines, ML workflows, and cloud infrastructure Build and manage cloud infrastructure using IaC tools (e.g., Terraform, CloudFormation) Develop and maintain CI/CD pipelines for data and ML projects Promote DevOps culture and best practices within the organization Develop and maintain tools and automation scripts to streamline data operations, model training, and deployment processes Stay Current on new ML / AI trends: Keep abreast of the latest advancements in data engineering, machine learning, and cloud technologies, evaluating and recommending new tools and approach Document processes, architectures, and standards for knowledge sharing and onboarding Education and experience Education: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field. (Relevant work experience may be considered in lieu of a degree). Programming: Strong proficiency in Python (essential) and experience with other relevant languages like Java, Scala, or Go. Data Warehousing/Databases: Solid understanding and experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra). Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) is highly desirable. Big Data Technologies: Hands-on experience with big data processing frameworks (e.g., Spark, Flink, Hadoop). Cloud Platforms: Experience with at least one major cloud provider (AWS, Azure, or GCP) and their relevant data and ML services (e.g., S3, EC2, Lambda, EMR, SageMaker, Dataflow, BigQuery, Azure Data Factory, Azure ML). ML Concepts: Fundamental understanding of machine learning concepts, algorithms, and workflows. MLOps Principles: Familiarity with MLOps principles and practices for deploying, monitoring, and managing ML models in production. Version Control: Proficiency with Git and collaborative development workflows. Problem-Solving: Excellent analytical and problem-solving skills with a strong attention to detail. Communication: Strong communication skills, able to articulate complex technical concepts to both technical and non-technical stakeholders. Bonus Points (Highly Desirable Skills & Experience): Experience with containerisation technologies (Docker, Kubernetes). Familiarity with CI/CD pipelines for data and ML deployments. Experience with stream processing technologies (e.g., Kafka, Kinesis). Knowledge of data visualization tools (e.g., Tableau, Power BI, Looker). Contributions to open-source projects or a strong portfolio of personal projects. Experience with [specific domain knowledge relevant to your company, e.g., financial data, healthcare data, e-commerce data]. Language skills Fluent English What’s in it for the candidate Be part of a highly motivated team of explorers Help make a difference and thrive in Cloud and AI technology Chart your own course and build a fantastic career Have fun and enjoy life with an industry leading remuneration pack About us Syensqo is a science company developing groundbreaking solutions that enhance the way we live, work, travel and play. Inspired by the scientific councils which Ernest Solvay initiated in 1911, we bring great minds together to push the limits of science and innovation for the benefit of our customers, with a diverse, global team of more than 13,000 associates. Our solutions contribute to safer, cleaner, and more sustainable products found in homes, food and consumer goods, planes, cars, batteries, smart devices and health care applications. Our innovation power enables us to deliver on the ambition of a circular economy and explore breakthrough technologies that advance humanity. At Syensqo, we seek to promote unity and not uniformity. We value the diversity that individuals bring and we invite you to consider a future with us, regardless of background, age, gender, national origin, ethnicity, religion, sexual orientation, ability or identity. We encourage individuals who may require any assistance or accommodations to let us know to ensure a seamless application experience. We are here to support you throughout the application journey and want to ensure all candidates are treated equally. If you are unsure whether you meet all the criteria or qualifications listed in the job description, we still encourage you to apply.

Job Title: Fullstack Developer (Node.js + TypeScript + Angular/React) – Contract to Hire Client: Confidential Location: Kothrud, Pune (Work from Office – Local candidates only) Type: Contract to Hire (3 months, high probability of extension) Experience: 4–6 Years Salary: ₹1,30,000 + GST per month Joining: Immediate or within 7 days About the Role: A reputed technology firm is seeking skilled Fullstack Developers to join its Pune office immediately on a contract-to-hire basis. The role requires solid backend experience with Node.js (Express or Hapi) , strong frontend expertise in Angular or React with TypeScript , and hands-on knowledge of MySQL and microservices architecture . This is a dynamic opportunity for professionals who want to work in a fast-paced, product-centric environment involving cutting-edge work in areas like IoT, AI/ML, Fintech, and Unified Communications . Responsibilities: Design and develop scalable fullstack web applications using Node.js (Express/Hapi) and Angular or React with TypeScript Build and maintain RESTful APIs and microservices Optimize application performance, security, and responsiveness Write reusable components, modules, and plugins Integrate MySQL databases and write efficient queries Collaborate with cross-functional teams for project delivery Troubleshoot issues and participate in debugging, performance tuning, and code reviews Preferred Skill Criteria (Must-Haves): 4+ years of hands-on experience with Node.js (Express or Hapi) and TypeScript Proficient in Angular or React (TypeScript preferred) Good experience in MySQL and relational database design Proven problem-solving ability, including building custom modules or plugins Strong understanding of microservices architecture Requirements: BE/BTech/MSc (CS/IT)/MCA or equivalent 4–6 years of fullstack development experience Solid command of JavaScript, TypeScript, and web development principles Strong communication and collaboration skills Ability to join immediately or within 7 days Only Pune-based candidates will be considered Interview Process: Resume Screening Assignment / Coding Round Technical Interview Techno-Managerial Round Additional Information: Duration: 3 months contract (High chance of extension) Work Mode: On-site – Kothrud, Pune Payroll: Confidential Job Types: Full-time, Permanent Pay: ₹150,000.00 - ₹250,000.00 per month Benefits: Provident Fund Location Type: In-person Schedule: Day shift Application Question(s): if u are selected when will you be join give any date ? Experience: Full-stack development: 5 years (Required) Work Location: In person

Join our dynamic team as a Wholesale Payment Transaction Approval Vice President, where you'll play a pivotal role in managing credit oversight for cash payments and security transactions. Collaborate with cross-functional teams to ensure compliance and control in a fast-paced environment. Drive strategic initiatives and enhance operational efficiency. Job Summary: As a Wholesale Payment Transaction Approval Vice President within the Wholesale Payment Operations team, you will oversee credit and intra-day exposure for cash payments and security transactions. You will collaborate with various departments to ensure adherence to policies and control requirements. Your role involves managing risk issues and participating in strategic projects. Job Responsibilities: Manage cash payment and securities settlement functions. Apply operational and credit risk management principles. Understand and support regulatory reporting requirements. Liaise with stakeholders regarding client credit limits. Participate in crisis management risk mitigation actions. Engage as a subject matter expert for payment systems. Contribute to strategic initiatives involving TAG. Support business resiliency planning. Monitor and approve credit exposures. Research and investigate to support processes. Improve Straight Through Processing (STP). Required Qualifications, Capabilities, and Skills: Hold a degree or equivalent. Possess 12+ years of experience, with 5 years in Payment Operations. Understand Wholesale Payments services and systems. Communicate effectively with senior management. Lead a team with strong interpersonal skills. Utilize Microsoft applications and SharePoint. Apply AI/ML for process efficiency and risk mitigation. Preferred Qualifications, Capabilities, and Skills: Demonstrate project management experience. Exhibit operational risk-related experience. Collaborate effectively with cross-functional teams. Innovate solutions for process improvement. Adapt to fast-paced environments. Drive strategic initiatives. Enhance client service and satisfaction.

JOB DESCRIPTION Join our dynamic team as a Wholesale Payment Transaction Approval Vice President, where you'll play a pivotal role in managing credit oversight for cash payments and security transactions. Collaborate with cross-functional teams to ensure compliance and control in a fast-paced environment. Drive strategic initiatives and enhance operational efficiency. Job Summary: As a Wholesale Payment Transaction Approval Vice President within the Wholesale Payment Operations team, you will oversee credit and intra-day exposure for cash payments and security transactions. You will collaborate with various departments to ensure adherence to policies and control requirements. Your role involves managing risk issues and participating in strategic projects. Job Responsibilities: Manage cash payment and securities settlement functions. Apply operational and credit risk management principles. Understand and support regulatory reporting requirements. Liaise with stakeholders regarding client credit limits. Participate in crisis management risk mitigation actions. Engage as a subject matter expert for payment systems. Contribute to strategic initiatives involving TAG. Support business resiliency planning. Monitor and approve credit exposures. Research and investigate to support processes. Improve Straight Through Processing (STP). Required Qualifications, Capabilities, and Skills: Hold a degree or equivalent. Possess 12+ years of experience, with 5 years in Payment Operations. Understand Wholesale Payments services and systems. Communicate effectively with senior management. Lead a team with strong interpersonal skills. Utilize Microsoft applications and SharePoint. Apply AI/ML for process efficiency and risk mitigation. Preferred Qualifications, Capabilities, and Skills: Demonstrate project management experience. Exhibit operational risk-related experience. Collaborate effectively with cross-functional teams. Innovate solutions for process improvement. Adapt to fast-paced environments. Drive strategic initiatives. Enhance client service and satisfaction. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

DGM - QA/QC (Civil) LNT/D-/1404448 WET-Water & Effluent Treatment ICChennai Posted On 05 Jul 2025 End Date 01 Jan 2026 Required Experience 17 - 22 Years Skills Knowledge & Posting Location QA/QC (CIVIL) Minimum Qualification BACHELOR OF ENGINEERING (BE) Job Description Key Qualifications: Bachelor’s degree in civil engineering Master’s degree in Civil / Structural / Construction Management (preferrable) Minimum 20 years of experience in Quality Assurance, Control, and Management in EPC projects Specialized training or certification in Quality Management from reputed institutions is desirable Proven track record of handling large-scale EPC, DBO or turnkey civil projects. Certified in professional programs such as Precast/Prestressed Concrete, etc. Lead Auditor certification for ISO 9001 and trained Business Excellence Assessor Exposure to World Bank-funded or ADB-funded infrastructure projects is preferred Familiarity with National (IS codes, CPHEEO manual, MoRTH, BIS) and International standards (ASTM, AWWA, ACI, BS, EN). Knowledge in Concrete Technology, Concrete mix design, Innovation and latest Technology in Civil discipline and AI/ML techniques for Quality improvement initiatives. Key Responsibilities: Strategic Leadership : Lead the Quality function for EPC projects, ensuring alignment with business goals, Contracts, Spec / regulatory requirements, and Indian / International standards. Customer Satisfaction: Enhance Customer Satisfaction to measure Customer Satisfaction index level for improvements in every Quarter and take action for improvement points. QMS Performance : Develop and implement QMS Manual, Project Quality Plans, and job-specific Standard Operating Procedures (SOPs). Ensure uniform quality practices across all phases of EPC projects – from engineering, procurement, and construction to commissioning. Quality Awards & Business Excellence Integration : Drive initiatives in Quality Management, Business Excellence, and subject-matter specialization to foster organizational growth and process improvement. Demonstrate with external forums for Quality awards and recognitions every year (FICCI, CII, Golden Peacock, RBNQA, etc) Certifications & Compliance : Ensure adherence to international standards such as ISO 9001 and ISO 17025. Lead internal and external audits, including supplier and technical audits. Process & Product Quality : Conduct regular audits (system/process) and statistical quality control (SPC/SQC) to ensure product conformity and initiate corrective actions for deviations. Trouble shooting & Problem Solving: Identify root cause analysis for Customer complaints on Product Quality deviations and getting agreement for timely CAs / preventive measures and building Customer confidence. Application of Statistical Quality Tools: Knowledge on Cost of Quality, Usage of Quality tools & techniques for Problem Solving and integrate 5 Core Quality tools (APQP / PPAP/ FMEA / MSA/ SPC) Vendor Quality Management : Perform vendor assessments, approve QAPs, and oversee supply inspections. Develop and evaluate vendors to maintain high-quality, cost-effective supply chains. Training & Development : Mentor and develop the Quality team through internal and external training programs focused on technical and leadership capabilities. Periodical knowledge sharing and Lessons learnt during Quality Council meetings and Business performance meetings. Digitalization : Implement and manage digital quality tools to monitor, report, and enhance business quality performance metrics. Quality Resource Identification and Optimization : Identify right person for right job, allocate Quality staff as per BU/ Project requirements and optimize Quality resources for effective implementation of Quality process and systems and development of Quality Professionals. Performance Reporting : Conduct management reviews and demonstrate Quality performance to Leadership team for Quality improvements, Gap analysis and Technology integration to enhance Productivity and speed. Key Skills: Proven ability to lead diverse QA/QC teams across geographies. Strong knowledge of industry best practices and international standards Proficiency in deploying digital tools for Quality monitoring and reporting Excellent leadership, analytical, and communication skills Competence in risk-based quality planning and defect prevention strategies Proven ability to drive continuous improvement and cost-effective quality solutions Strong interpersonal and communication skills to interface with various Stakeholders

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace. Boeing India Engineering and Technology Centre is currently looking for two Experienced Manufacturing Engineer to join their Manufacturing Engineering team in Bangalore , India. As a Manufacturing Engineer, you will be part of a global team working on providing ME solutions to a wide range of Boeing products and services across the world. These positions will focus on supporting the Boeing Commercial Airplanes (BCA) business organization. A successful candidate will implement the preparation of installation plans, author assembly work instructions and drive process standardization for electrical wire harness products. The role would focus on working closely with global teams to ensure the assembly work instructions are defined most efficiently thereby ensuring the best value for our customers. This position also offers opportunities to be part of integrated project teams on the manufacturability and producibility of wiring design definitions. Be a part of our passionate and motivated team that always keep an eye to identify potential opportunities to improve and standardize the assembly process for our diverse range of products. Position Responsibilities: Develops, implements, and maintains various manufacturing plans, Bill of Materials, work instructions, and illustrations to define and document as-built configuration for Electrical panels, shelves and Wire Harnesses. Reviews and approves Installation plan in CAPP/MES for installing wire harnesses and components in panels and other assemblies. Participates on Integrated Product Teams (IPTs) to integrate technical solutions across multiple disciplines. Leads and implements manufacturing plans. Resolves technical problems of significant impact to performance, cost or schedule. Coordinates and implements new engineering principles, theories, advanced technologies and concepts. Validates and ensures production readiness of solutions to complex problems. Implements lean principles and technologies. Investigates and resolves manufacturing-related issues. Conducts DFM and producibility studies of installation and routing of wire harness and electrical /electronic products. Reviews and approves testing and inspection plans for wire harnesses, panels, and aircraft electrical systems for continuity and proper functioning. Implement the process audits for the prevailing Installation/fabrication plans and ensure they meet the defined standards. Identifies production inefficiencies and suggests potential improvements to product or process. Mentor less-experienced engineers in terms of technical knowledge, project management and stakeholder relationship building. Lead the implementation of safety procedures, Foreign Object Debris (FOD) prevention and non-conformances issues related to electrical products and wire harness manufacturing. Develop technical capability among peers on DFM and producibility studies of wire harness and electrical /electronic products. Exercises critical thinking and innovative problem solving. Employer will not sponsor applicants for employment visa status Basic Qualifications (Required Skills/Experience): Bachelor’s Degree or higher is required as a Basic Qualification. 8+ years of work experience in aerospace wire harness design, installation and routing, 6+ year of experience involved with production/manufacturing planning of electrical products/electronic products/wire harness. Experience leading teams performing technical engineering work in either a formal or informal capacity Ability to analyze and interpret engineering drawings and specifications Knowledge of Electrical Harness design software (2D/3D) Demonstrated experience with manufacturing execution systems. Preferred Qualifications (Desired Skills/Experience): Experience with Boeing products/Commercial aircraft platforms is highly desirable. Experience in Wire Routing and Installation of aircraft wiring systems using Catia is a plus Typical Education & Experience: Education/experience typically acquired through a Bachelors in Engineering (Electrical/Electronics/Mechanical/Aerospace/Aeronautical) with +8 years' of related work experience or Masters in Engineering with + 7 years' related work experience. Relocation: This position offers relocation within INDIA. Applications for this position will be accepted until Jul. 13, 2025 Export Control Requirements: This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

Hello Visionary! We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make a great addition to our vibrant team. We are looking for a Penetration Tester. This position is available for Chennai Location. You’ll make a difference by: Having experience in Leading and performing complex penetration testing engagements across enterprise networks, cloud infrastructures, web, mobile, APIs, thick clients, and IoT environments. Having understanding to Simulate sophisticated real-world attacks (e.g., APT scenarios, lateral movement, chained exploits). Conducting Red Team exercises and adversary emulation based on frameworks like MITRE ATT&CK. Identifying and exploiting vulnerabilities using both automated tools and advanced manual techniques. Reviewing, enhancing, and developing custom scripts, tools, and exploits to support internal testing capabilities. Providing expert-level guidance to business units on security risks, remediation strategies, and secure architecture. Actively participating in client discussions, executive briefings, and technical workshops. Delivering detailed and executive-level reports, including risk ratings, business impact, PoCs, and mitigation steps. Maintaining robust documentation of testing methodologies, custom tools, and process improvements. Ensuring all engagements align with internal policies, industry frameworks (e.g., OWASP, NIST, ISO), and client-specific compliance standards. Training and Development Stay updated on the latest security trends, vulnerabilities, and technology advancements. Provide training and guidance to the team and other departments on security best practices. Strategy and Planning Plan and scope penetration testing engagements, ensuring comprehensive coverage and effectiveness. Participate in the development of security policies and standards. Technical Expertise Deep hands-on experience in: Web, API, Thick Client and mobile app security testing (e.g., OWASP Top 10 – Web, Mobile, API) Internal/external network penetration, privilege escalation, and lateral movement Active Directory assessments and exploitation (Kerb roasting, Pass-the-Hash etc.) Familiarity with ICS, SCADA, BACnet protocols, and covert communication channels Wireless, Bluetooth, IoT device, Embedded Security, Cloud (AWS/Azure/GCP), and container security testing Working knowledge of Kali Linux and frameworks like MITRE ATT&CK Basic understanding of AI/ML security: adversarial attacks, model poisoning, and secure deployment of AI systems Proficiency with tools such as: Offensive: Burp Suite Pro, Metasploit, SQLMap, Cobalt Strike, Impacket, CrackMapExec, BloodHound, Sliver Reconnaissance: Nmap, Amass, Shodan, OSINT frameworks/tools Vulnerability Scanners: Nessus, Qualys, Nexpose Programming/Scripting: Skilled in scripting and exploit development using Python, Bash, PowerShell, and occasionally C/C++ or Go Soft Skills Excellent written and verbal communication skills Strong analytical and problem-solving capabilities Ability to explain technical concepts clearly to non-technical stakeholders You’ll win us over by: Having An engineering degree B.E/B.Tech/M.E/M.Tech with good academic record. 6–7 years of proven experience in penetration testing and offensive security Certifications (Preferred): Highly Desirable: OSCP, OSWP, OSWE, GPEN, GWAPT, OSCE, OSEE, GXPN, CPTS, CWEE, CAPE Other Considered: EWPTXv2 or equivalent advanced offensive security certifications We’ll support you with: Hybrid working Opportunities. Diverse and inclusive culture. Great variety of learning & development opportunities. Join us and be yourself! We value your unique identity and perspective, recognizing that our strength comes from the diverse backgrounds, experiences, and thoughts of our team members. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. We also support you in your personal and professional journey by providing resources to help you thrive. Come bring your authentic self and create a better tomorrow with us. Make your mark in our exciting world at Siemens. This role is based in Chennai and is an Individual contributor role. You might be required to visit other locations within India and outside. In return, you'll get the chance to work with teams impacting - and the shape of things to come. We're Siemens. A collection of over 319,000 minds building the future, one day at a time in over 200 countries. Find out more about Siemens careers at: www.siemens.com/careers

Fusion Applications Development – Fusion Application as a Service – Senior Member of Technical Staff Location: Bengaluru, India 10530.Software Developer 3.PRODEV.SWENG.IC3 Fusion Applications Development – Fusion Application as a Service – Senior Member of Technical Staff Location: Bengaluru, India Location: Bengaluru, India Preferred Qualifications The Oracle Cloud Infrastructure (OCI)/Cloud Engineering Infrastructure provides you the opportunity to build and operate a suite of massive scale, integrated cloud services in a broadly distributed, multi-tenant cloud environment. OCI is committed to providing the best in cloud products that meet the needs of our customers who are tackling some of the world’s biggest challenges. We offer unique opportunities for inquisitive , hands-on engineers with the expertise and passion to solve difficult problems in distributed highly available services and virtualized infrastructure. At every level, our engineers have a significant technical and business impact designing and building innovative new systems to power our customer’s business critical applications. Fusion Application as a Service (FAaaS) is an exciting new team working on at the intersection of infrastructure and applications where we are demonstrating OCI to transform some of the largest SaaS properties in the industry. We are making the existing Oracle's SaaS portfolios, including the multi-billion dollar revenue producing Fusion applications, become first class Oracle cloud citizens. To support the vision we are building a platform that manages end-to-end lifecycle, from provisioning to upgrade to terminate; and provides a self-service cloud experience to the customer for our SaaS product by demonstrating the underlying OCI platform and AI services. As a Software Engineer on the FAaaS team, you will be part of the effort in building distributed, scalable, fault tolerant software systems and AI models in support of our business needs and end customer. You will own the entire software lifecycle – development, testing, CI/CD and production operations. You must balance between product feature development and production operational concerns like writing run books, ops automation, structured logging, instrumentation for metrics and events demonstrating a plethora of internal tooling at OCI. From a technology perspective, this is a greenfield development environment with a huge amount of autonomy, leaving us free to build and innovate without being encumbered by legacy products and services. About You: You are an experienced cloud engineer with a proven track record of delivering high-scale, high-impact solutions You have experience in Designing, developing, and implementing AI models and algorithms to address business challenges and improve processes. You are obsessed with the customer, always exceeding expectations You have excellent communication skills. You can clearly explain complex technical concepts You are a disciplined engineer who understands the importance of high standards, never satisfied with mediocrity and constantly striving for excellence You are comfortable with ambiguity in a chaotic and fluid environment You are passionate about technology and are not afraid to defend your opinions or position with peers/superiors Minimum Qualifications 3+ years of experience shipping scalable, cloud native distributed systems BS in Computer Science, or equivalent experience Ability to work in a collaborative, multi-functional team environment Strong grasp of Computer Science concepts (data structures, algorithms, and programming paradigms) Proficient in at Java/C++, Python and shell scripting tools Designing, developing, and implementing AI models and algorithms to address business challenges and improve processes Experience with container orchestration like Kubernetes/Docker Swarm/Mesos, experience working on Helm Charts, etc. Strong working experience on GitHub/Bitbucket, TeamCity/Hudson, Maven/Gradle You are experienced at building highly available services, possessing knowledge of common service-oriented design patterns and service-to-service communication protocols Experience with components of modern infrastructure like service discovery, secret storage, containerization, software-defined networking, etc. Experience with production operations and standard processes for putting quality code in production and troubleshoot issues when they arise Able to effectively communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations) Preferred Qualifications BS/MS in Computer Science Experience in a fast-paced start-up environment Experience building control plane/data plane solutions for cloud native companies Experience in diagnosing, troubleshooting and resolving performance issues in complex environments Deep understanding of Unix-like operating systems Production experience with Cloud and ML technologies Data science and machine learning knowledge would be helpful but not required Detailed Description and Job Requirements As a member of this emerging software engineering division, you will assist in defining and developing software and AI models for tasks associated with the developing, debugging or designing of software applications or operating systems. You will provide technical leadership to other software developers including mentoring, code reviews, presentations and more. As with any new product delivery, duties and tasks will vary and changes in priority are the norm. Our vision is to provide an immersive self-service experience to our customer on Oracle Cloud. Aggressive as it might sound, our growth journey is fuelled by highly energetic, technology savvy engineers like YOU who are looking to grow with us to meet the demands of building a powerful next-generation platform. Are you ready to do something big? Oracle is an Affirmative Action-Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veterans status, age, or any other characteristic protected by law. Career Level - IC3 As a member of the software engineering division, you will assist in defining and developing software and AI models for tasks associated with the developing, debugging or designing of software applications or operating systems. Provide technical leadership to other software developers. Specify, design and implement modest changes to existing software architecture to meet changing needs.

Must Have Skills: Extensive knowledge of large language models, natural language processing techniques and prompt engineering. Experience in testing and validation processes to ensure the models' accuracy and efficiency in real-world scenarios. Experience in design, build, and deployment of innovative applications utilizing Gen AI technologies such as RAG (Retrieval-Augmented Generation) based chatbots or AI Agents. Proficiency in programming using Python or Java. Familiarity with Oracle Cloud Infrastructure or similar cloud platforms. Effective communication and presentation skills. Analyzes problems, identifies solutions, and makes decisions. Good to Have Skills: Experience in LLM architectures, model evaluation, and fine-tuning techniques. Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, TensorFlow, PyTorch, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. Proficiency in databases (e.g., Oracle, MySQL), developing and executing AI over any of the cloud data platforms, associated data stores, Graph Stores, Vector Stores and pipelines. Understanding of the security and compliance requirements for ML/GenAI implementations. Career Level - IC2/IC3 As a member of Oracle Cloud LIFT, you’ll help guide our customers from concept to successful cloud deployment. You’ll: Shape architecture and solution design with best practices and experience. Own the delivery of agreed workload implementations. Validate and test deployed solutions. Conduct security assurance reviews. You’ll work in a fast-paced, international environment, engaging with customers across industries and regions. You’ll collaborate with peers, sales, architects, and consulting teams to make cloud transformation real. https://www.oracle.com/in/cloud/cloud-lift/

About Vikmo Vikmo, an AI-native SaaS platform empowering Indian SMBs to streamline their multi-channel B2B selling operations. We use intelligent automation, cross-tenant learning, and predictive insights to simplify sales, inventory, and operations for thousands of growing businesses. Role Overview We are looking for an AI Intern to support the design and development of machine learning pipelines and generative AI use cases. You will work closely with our AI team to develop intelligent systems that automate catalog cleanup, recommend corrections, and generate insights using cross-tenant data in a privacy-safe manner. Key Responsibilities Build and fine-tune Gen AI pipelines for tasks like product description generation and catalog enrichment Implement AI agents for use cases like auto-classification, product matching, and price prediction Apply ML models for fuzzy matching, semantic search, and similarity scoring Use fuzzywuzzy, scikit-learn, spaCy, and sentence-transformers for core logic Work on database-linked intelligence (PostgreSQL + RLS) for privacy-preserving learning Track model accuracy, learning rate, and quality of AI suggestions Collaborate with backend and frontend teams to deploy AI logic via APIs Run batch experiments and background jobs using Celery Tech & Tools You'll Work With Languages & Frameworks: Python, scikit-learn, NumPy, Pandas Gen AI Tools: OpenAI API, LangChain, Sentence Transformers, HuggingFace models Data Pipelines: Celery, Redis, PostgreSQL Other Tools: Docker, VS Code, Git, Jupyter, Postman Cloud Environment: Google Cloud Platform (Cloud Run, Cloud Storage, Cloud SQL) What You Will Learn Applying LLMs and embeddings to real business use cases Building scalable ML systems within a production SaaS application Design of privacy-preserving, cross-tenant learning algorithms Creating feedback loops for continuous improvement in AI predictions Building AI endpoints as part of a microservices architecture Exposure to real customer data patterns and business domain challenges Job Type: Internship Contract length: 6 months Pay: ₹8,000.00 - ₹12,000.00 per month Benefits: Paid sick time Paid time off Schedule: Day shift Ability to commute/relocate: BTM Layout, Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Have you worked on Generative AI models before? share details Have you worked on ML models before? Share details Have you worked on Python Django Projects before? Share details This is an internship role for 6 months with a stipend of Rs. 8000/- to Rs. 12000/-. Are you available for 6 months Full time? Work Location: In person

Lead Assistant Manager EXL/LAM/1412764 Data And Analytics ServicesNoida Posted On 05 Jul 2025 End Date 19 Aug 2025 Required Experience 4 - 10 Years Basic Section Number Of Positions 4 Band B2 Band Name Lead Assistant Manager Cost Code D014377 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type New Max CTC 1500000.0000 - 2400000.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group Analytics Sub Group Healthcare Organization Data And Analytics Services LOB Analytics SBU Services Country India City Noida Center Noida-SEZ BPO Solutions Skills Skill GCP GCP/AWS/CI - CD/DEVOPS AI PYTHON SQL Minimum Qualification B.TECH/B.E MCA Certification No data available Job Description Cloud AI Engineer We're looking for a highly skilled and experienced Cloud AI Engineer to join our dynamic team. In this role, you'll be instrumental in designing, developing, and deploying cutting-edge artificial intelligence and machine learning solutions leveraging the full suite of Google Cloud Platform (GCP) services. Objectives of this role Lead the end-to-end development cycle of AI applications, from conceptualization and prototyping to deployment and optimization, with a core focus on LLM-driven solutions. Architect and implement highly performant and scalable AI services, effectively integrating with GCP's comprehensive AI/ML ecosystem. Collaborate closely with product managers, data scientists, and MLOps engineers to translate complex business requirements into tangible, AI-powered features. Continuously research and apply the latest advancements in LLM technology, prompt engineering, and AI frameworks to enhance application capabilities and performance. ## Responsibilities Develop and deploy production-grade AI applications and microservices primarily using Python and FastAPI, ensuring robust API design, security, and scalability. Design and implement end-to-end LLM pipelines, encompassing data ingestion, processing, model inference, and output generation. Utilize Google Cloud Platform (GCP) services extensively, including Vertex AI (Generative AI, Model Garden, Workbench), Cloud Functions, Cloud Run, Cloud Storage, and BigQuery, to build, train, and deploy LLMs and AI models. Expertly apply prompt engineering techniques and strategies to optimize LLM responses, manage context windows, and reduce hallucinations. Implement and manage embeddings and vector stores for efficient information retrieval and Retrieval-Augmented Generation (RAG) patterns. Work with advanced LLM orchestration frameworks such as LangChain, LangGraph, Google ADK, and CrewAI to build sophisticated multi-agent systems and complex AI workflows. Integrate AI solutions with other enterprise systems and databases, ensuring seamless data flow and interoperability. Participate in code reviews, establish best practices for AI application development, and contribute to a culture of technical excellence. Keep abreast of the latest advancements in GCP AI/ML services and broader AI/ML technologies, evaluating and recommending new tools and approaches. ## Required skills and qualifications Two or more years of hands-on experience as an AI Engineer with a focus on building and deploying AI applications, particularly those involving Large Language Models (LLMs). Strong programming proficiency in Python, with significant experience in developing web APIs using FastAPI. Demonstrable expertise with Google Cloud Platform (GCP), specifically with services like Vertex AI (Generative AI, AI Platform), Cloud Run/Functions, and Cloud Storage. Proven experience in prompt engineering, including advanced techniques like few-shot learning, chain-of-thought prompting, and instruction tuning. Practical knowledge and application of embeddings and vector stores for semantic search and RAG architectures. Hands-on experience with at least one major LLM orchestration framework (e.g., LangChain, LangGraph, CrewAI). Solid understanding of software engineering principles, including API design, data structures, algorithms, and testing methodologies. Experience with version control systems (Git) and CI/CD pipelines. Preferred skills and qualifications Bachelor’s or Master's degree in Computer Science Good to have: Experience with MLOps practices for deploying, monitoring, and maintaining AI models in production. Understanding of distributed computing and data processing technologies. Contributions to open-source AI projects or a strong portfolio showcasing relevant AI/LLM applications. Excellent analytical and problem-solving skills with a keen attention to detail. Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders. Workflow Workflow Type L&S-DA-Consulting