Machine Learning Engineering Manager
Core
Lead a team of ML Engineers and Applied ML Scientists to build and deploy Kensho's GenAI platform, LLM-powered applications, and foundational AI toolkits for S&P Global.
Role type
Machine Learning Engineering Manager
Builds
Kensho's GenAI platform, LLM-powered applications, and foundational AI toolkits (e.g., Kensho Link, NERD)
Domain
Financial services, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG)
Deliverable
production ML models
Required skills
ML system design, team management, mentoring engineers/scientists, product roadmap definition, data processing, model deployment, technical decision making, cross-functional collaboration
Preferred skills
innovation mindset, clear communication, organizational skills, results orientation
Technologies
PyTorch, Transformers, HuggingFace, LangChain, Docker, Amazon EKS, Jenkins, AWS, Postgres, OpenSearch, S3, SKLearn, XGBoost, LightGBM, Pandas, Matplotlib, Jupyter, Weights & Biases, DVC, MosaicML, NVIDIA NeMo, LabelBox
Responsibilities
Lead and grow a high-performing ML team; Drive ML strategy and execution for GenAI platforms; Deliver production-grade ML systems; Advance retrieval-driven AI agents; Shape product and ML roadmaps; Promote engineering excellence; Hire and scale the team; Stay hands-on in technical reviews; Ensure operational stability; Foster collaboration across teams
Seniority
Senior, hands-on IC with management responsibilities
