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Works directly with strategic enterprise customers to deploy AI and ML workloads on GPU infrastructure, owning proof-of-concept work through post-sale optimization. Requires deep Kubernetes and MLOps experience with frameworks such as Ray or Kubeflow, plus cloud infrastructure knowledge across AWS, GCP, or Azure.
San Francisco, CA - US, Bellevue, WA - US·On-site