Data Science Leader
7 days ago
Company Overview
">S&P Global is a world-leading provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets.
">About the Role
">We are seeking an experienced Data Science Leader to join our team within the Data Science COE at S&P Global. The successful candidate will lead engineering activities for building production-grade generative AI solutions and play a pivotal role in implementing machine learning engineering operations.
">Key Responsibilities
">- ">
- Lead ML Engineering 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 no-SQL databases, microservices, orchestration services, and more.">
- Lead MLOps/LMOps 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.">
Requirements
">The ideal candidate should have 8+ years of progressive experience in machine learning, data analytics, or similar roles, with relevant experience in writing production-level scalable code with Python (or Scala), MLOps/LLMOps, machine learning engineering, Big Data, or related roles.
">Benefits
">S&P Global offers a comprehensive benefits package, including competitive pay, health and wellness programs, flexible downtime, continuous learning opportunities, and family-friendly perks.
">Estimated Salary Range: $150,000 - $250,000 per year, depending on location and experience.
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