GenAI ML/MLOps Engineering Lead - Remote

Overview

We are seeking a Lead/Associate Director of ML & MLOps Engineering - GenAI to join our ML team within the Data Science COE at S&P Global focusing on building Generative AI solutions.

In Short

• Lead ML Engineering to architect, build and deploy production grade GenAI services and solutions.
• Work on large-scale stateful and stateless distributed systems.
• Lead MLOps/LLMOps platform development & automated pipelines.
• Collaborate with cross-functional teams to integrate machine learning models.
• Create and manage documentation and knowledge base.
• Work closely with technology teams on Enterprise AI platform.
• 8+ years of experience in machine learning or data analytics.
• 5 years of experience with production level code in Python or Scala.
• Experience with containerization, Kubernetes, and cloud platforms.
• 2-3 years of experience with operationalizing data-driven pipelines.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 8+ years of progressive experience in machine learning or similar roles.
• 5 years of relevant experience in MLOps/LLMOps and machine learning engineering.
• Proficiency in Python, SQL, NoSQL, and various big data technologies.
• Experience with distributed systems programming and microservices architecture.
• Knowledge of CI/CD and workflow orchestration tools.
• Experience with RAG pipelines and Generative AI use cases is a plus.

Benefits

• Health care coverage designed for the mind and body.
• Generous time off to keep you energized.
• Access to resources for continuous learning.
• Competitive pay and retirement planning.
• Family-friendly perks and benefits.