S
AI

GenAI ML MLOps Engineering Lead Remote

S&P Global · Anywhere · $86k - $161k

Actively hiring Posted about 2 months ago

Role overview

About the position

What we're looking for

Nice-to-haves • 2-3 years of experience with operationalizing data-driven pipelines for large scale batch and stream processing analytics solutions. • Experience with contributing to open-source initiatives or in research projects and/or participation in Kaggle competitions. • 6-12 months of experience working with RAG pipelines, prompt engineering and/or Generative AI use cases. • Experience with SageMaker and/or Vertex AI.

Benefits • Health care coverage designed for the mind and body. • Generous time off to keep you energized. • Access to resources for continuous learning and career growth. • Competitive pay and retirement planning options. • Family-friendly perks and benefits for partners and children. • Retail discounts and referral incentive awards.

Tags & focus areas

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Remote Lead Machine Learning Kubernetes Scala Python Spark Airflow Mlflow Fulltime