Machine Learning Engineer
Core
Building retrieval-driven AI agents and production-grade ML systems that ground LLM outputs in trusted S&P Global data for financial customers.
Role type
Senior IC machine learning engineer (GenAI/LLM)
Builds
Retrieval-driven AI agents, LLM-powered applications, and fundamental AI toolkits (e.g., Kensho Link)
Domain
Financial services + Generative AI / Large Language Models
Deliverable
production ML models
Required skills
Python, SQL, ML pipeline design, LLM orchestration (LangChain), system design, data retrieval, model evaluation, scaling ML applications
Preferred skills
RAG-based systems
Technologies
PyTorch, Transformers, HuggingFace, LangChain, Scikit-learn, XGBoost, LightGBM, Docker, Amazon EKS, Jenkins, AWS, Postgres, OpenSearch, S3
Responsibilities
Design AI agents that fetch and validate data from S&P datasets; Develop and deploy machine learning systems end-to-end; Evaluate LLM-based agents for performance and latency; Optimize and scale ML systems for high demand; Reduce technical debt in the ML stack; Collaborate with Data, Product, and Engineering teams to drive product vision.
Seniority
Senior, hands-on IC
