Machine Learning Engineer at S&P Global

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

10 Apr, 26

Salary

0.0

Posted On

10 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Natural Language Processing, Information Retrieval, Python, SQL, ML Pipelines, Collaboration, Problem Solving, Fast-Paced Environment, Large Language Models, Data Processing, Model Deployment, AI Agents, Performance Evaluation, Domain Knowledge, Technical Debt Reduction

Industry

Financial Services

Description

About the Role: Grade Level (for internal use): 03 Who We Are Kensho is S&P Global’s hub for AI innovation and transformation. With expertise in Machine Learning and data discovery, we develop and deploy novel solutions for S&P Global and its customers worldwide. Our solutions help businesses harness the power of data and Artificial Intelligence to innovate and drive progress. Kensho's solutions and research focus on Generative AI, LLM Agents, speech recognition, entity linking, document extraction, text classification, natural language processing, and more. At Kensho, we hire talented people and give them the autonomy and support needed to build amazing technology and products. We collaborate using our teammates' diverse perspectives to solve hard problems. Our communication with one another is open, honest, and efficient. We dedicate time and resources to explore new ideas, but always rooted in engineering best practices. As a result, we can innovate rapidly to produce technology that is scalable, robust, and useful. About the Team We are looking for a Senior ML Engineer to join the group of Machine Learning Engineers working on developing a cutting-edge GenAI platform, LLM-powered applications, and fundamental AI toolkit solutions such as Kensho Link. We are looking for talented people who share our passion for bringing robust, scalable, and highly accurate ML solutions to production. You can read about some of our cutting-edge GenAI application at: S&P Global and Anthropic Announce Collaboration to Bring Trusted Financial Data into Claude S&P Global Data Retrieval Agent for Gemini Enterprise | Google Cloud AI agent finder About The Role As a Senior ML Engineer, you will work across a broad set of machine learning areas at Kensho. This includes building retrieval-driven AI agents that ground LLM outputs in trusted S&P data, as well as developing and operating production-grade machine learning systems that power our essential AI toolkits like Kensho Link or NERD. Across these areas, your focus will be on creating reliable, scalable, and transparent ML solutions that deliver real value to users. This role is ideal for engineers who: Enjoy building robust, production-grade ML systems end to end Have strong ML fundamentals, with a practical understanding of the backend and deployment work needed to run these systems in production Want to work across data, retrieval, modeling, and system design You will partner with ML engineers, backend engineers, and product managers to drive the next generation of Kensho’s AI products. Why Join Us? Kensho is expanding its portfolio of ML-powered products, and we are looking for engineers who are excited to build and deploy state-of-the-art ML systems at scale. You will have the opportunity to influence key architectural decisions, experiment with new approaches, and accelerate the pace at which we prototype, develop, and maintain high-impact ML solutions. We are seeking a mid-to-senior level Machine Learning Engineer who can help elevate and streamline our ML development lifecycle, setting a high bar for excellence in modeling, deployment, and production operations. What We Are Looking for- Bachelor's degree or higher in Computer Science, Engineering, or a related field. 3+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP), and information retrieval systems, including designing, shipping, and maintaining production systems. Strong proficiency in Python. Experience reading and understanding SQL databases and writing queries for specific access patterns. Proven experience building ML pipelines for data processing, training, inference, maintenance, evaluation, versioning, and experimentation. Demonstrated effective coding, documentation, collaboration, and communication habits. Strong problem-solving skills and a proactive approach to addressing challenges. Ability to adapt to a fast-paced and dynamic work environment. Experience working with machine learning libraries/frameworks for Large Language Model (LLM) orchestration, such as Langchain. (Preferred) Experience working with RAG based system What You’ll Do: Develop Advanced ML Systems: Create, refine, and deploy machine learning systems that solve complex business problems and power Kensho products. Build Retrieval-Driven AI Agents: Design AI agents that fetch, validate, and structure data from S&P datasets, ensuring answers produced by LLMs are grounded in S&P’s data universe. Evaluate LLM-based Agents: Identify and resolve performance gaps in both online and offline settings, addressing issues such as performance, latency, memory usage, compute efficiency, and feature consistency. Work With Domain Specific Data: Leverage proprietary structured and unstructured datasets, deep dive to have domain understanding, work with Subject Matter Experts (SMEs). Scale ML Applications: Optimize and scale ML systems to support high demand, efficient resource utilization, and reliable production behavior. Reduce Technical Debt: Proactively identify areas of the stack that can be improved, and propose solutions that strengthen reliability and maintainability. Taking Initiative: Scope, plan, and execute ML initiatives that develop core capabilities across Kensho products. Collaborate Across Teams: Work closely with Data, Product, Design, and Engineering teams to ensure smooth operations and contribute to long-term product vision. Improve User Experiences: Partner with Product and Design to develop ML-driven functionality that enhances user workflows and aligns with business needs. Drive the ML Lifecycle: Engage in all phases of the ML lifecycle, from problem framing and data exploration to model deployment and production monitoring, ensuring continuous improvement. Technologies We Love: Traditional ML: Scikit-learn, XGBoost, LightGBM ML/Deep Learning: PyTorch, Transformers, HuggingFace, LangChain Deployment tools such as: Docker, Amazon EKS, Jenkins, AWS EDA/Visualization: Pandas, Matplotlib, Jupyter, Weights & Biases Tools/Toolkits: DVC, MosaicML, NVIDIA NeMo, LabelBox Techniques: RAG, Prompt Engineering, Information Retrieval, Data Embedding Datastores: Postgres, OpenSearch, SQLite, S3 What’s In It For You? Our Mission: Advancing Essential Intelligence. 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. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership 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), BSMGMT203 - Entry Professional (EEO Job Group) S&P Global delivers Essential Intelligence® that shapes decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, you’ll help solve complex challenges that equip businesses, governments and individuals with the knowledge to adapt to a changing economic landscape.

Responsibilities

As a Senior ML Engineer, you will develop and deploy machine learning systems that solve complex business problems and enhance Kensho products. You will also design AI agents that validate and structure data from S&P datasets, ensuring reliable outputs from LLMs.