Lead Machine Learning Engineer

Role/Responsibilities and Impact:

• ML Engineer to architect, build, and deploy production-grade GenAI services and solutions.
• Work on large-scale stateful and stateless distributed systems, including infrastructure, data ingestion platforms, SQL and NoSQL databases, microservices, orchestration services, and more.
• Lead MLOps/LLMOps platform development & automated pipelines focusing on deploying, monitoring, and maintaining models in production environments; with model governance, cost, and performance optimization.
• Collaborate with cross-functional teams to integrate machine learning models into production systems.
• Create and manage documentation and knowledge base, including development best practices, MLOps/LLMOps processes, and procedures.
• Work closely with members of AI, Data Science, and MLE teams in the development and implementation of S&P Global Ratings Enterprise AI platform.