Machine Learning Engineer
S&P Global (company site, opens in a new tab)3+ yrsHyderabadOn-siteDirect career pageEst. 20–45 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Develop, refine, and deploy production-grade machine learning systems powering Kensho's AI products, including retrieval-driven AI agents grounded in S&P data.
- Evaluate and optimize LLM-based agents for performance, latency, compute efficiency, and feature consistency in both online and offline settings.
- Collaborate cross-functionally to drive scalable, reliable, and maintainable ML solutions that deliver real user value and align with product vision.
Minimum Requirements
- Bachelor's degree or higher in Computer Science, Engineering, or related field.
- Minimum 3 years of hands-on industry experience building, deploying, and maintaining machine learning, NLP, and information retrieval systems in production.
- Strong proficiency in Python and ability to write SQL queries; experience with ML pipelines including training, inference, evaluation, and versioning.
- Experience with machine learning frameworks and libraries for LLM orchestration such as Langchain; experience with Retrieval-Augmented Generation (RAG) systems preferred but not mandatory.
Ideal Candidate Profile
- Mid-to-senior ML engineer with practical experience building end-to-end, scalable ML systems in production environments involving LLMs and retrieval-based architectures.
- Demonstrates strong ML fundamentals combined with backend and deployment knowledge to reduce technical debt and optimize system reliability and efficiency.
- Collaborates effectively with engineering, product, design, and domain experts to evolve AI-powered products leveraging proprietary structured and unstructured data.