Machine Learning Engineer II

About the role

Kensho Technologies, S&P Global’s hub for AI innovation and transformation, develops and deploys machine learning, natural language processing, and data discovery solutions. The Machine Learning Engineer II will develop and scale production-grade RAG systems, focusing on retrieval models, LLM orchestration, vector search, and end-to-end machine learning system lifecycle management.

Responsibilities

• Design and implement end-to-end RAG pipelines that integrate proprietary chunking algorithms, embedding models, vector databases, and data retrieval agents
• Build and optimize retrieval systems over large-scale proprietary datasets using advanced embedding techniques
• Develop LLM-based solutions that orchestrate retrieval, generation, and ranking to deliver high-quality, context-aware responses
• Investigate and solve challenges in vector search, chunking and indexing strategies, unstructured data retrieval evaluation, and GraphRAG
• Work closely with Product and Design teams to build ML-based solutions that enhance user experiences and meet business objectives
• Collaborate closely with the ML Operations team to create automated solutions for managing the entire ML systems lifecycle, from initial technical design to seamless implementation