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Engineering US Remote

ML Ops Engineer (Python + Kubernetes)

$190K - $250K · Full-time

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About the role

Run the model and inference infrastructure - GPU pools, model registry, blue and green deploys, the eval gates that block bad fine-tunes. K8s, Terraform, observability.

  • 4+ years ML Ops.
  • Kubernetes in production.
  • Python tooling and a strong observability stance.
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Apply for ML Ops Engineer (Python + Kubernetes).

A hiring lead reviews each application within five business days. The role is pre-selected for you below; change it if you want to apply to a different position.

  • 1. Submit the form below.
  • 2. Hiring lead reviews and replies within five business days.
  • 3. Two interviews, then a paid trial week.
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