Senior Machine Learning Engineer
Core
Building retrieval-driven AI agents and production-grade ML systems that ground LLM outputs in trusted S&P Global financial data.
Role type
Senior Machine Learning Engineer (GenAI/LLM)
Builds
Retrieval-driven AI agents, LLM-powered applications, and fundamental AI toolkits (e.g., Kensho Link, NERD)
Domain
Financial services, Generative AI, Large Language Models (LLM), Information Retrieval
Deliverable
production ML models
Required skills
Python, SQL, Machine Learning fundamentals, NLP, Information Retrieval, ML pipeline design, LLM orchestration (LangChain), System design
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 for complex business problems; 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