Senior Solution Architect, MLOps - AI Factory

About the role

NVDA: Computing platform for AI and accelerated graphics.

Requirements

• B.Sc or M.Sc in Engineering, Mathematics, Physics, or Computer Science or equivalent; 5+ years in software development or ML engineering; expertise with on-premises Kubernetes, containers, MLOps tools, and deep learning frameworks including PyTorch, vLLM, and TritonServer.

Where this was posted

• Hiring Cafe

  last seen 29m ago
  View on Hiring Cafe