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Related skills

rust python kubernetes go mlflow

📋 Description

  • Own the MLOps platform architecture and standards.
  • Define interfaces for datasets, experiments, and models.
  • Lead cross-team collaboration with Autonomy, Data Platform, and TeleOp.
  • Manage dataset versioning, lineage, and labeling handoff.
  • Ensure reproducibility by tracing data and code for models.
  • Oversee model registry, evaluation harnesses, and deployment paths.

🎯 Requirements

  • Strong Python and a systems language (Go, Rust, or C++) background.
  • Experience delivering an end-to-end MLOps platform in production.
  • Expertise in dataset versioning (DVC, LakeFS, Delta) and experiment tracking (MLflow, Weights &
  • Kubernetes experience; define service/API contracts between platform and compute.
  • Experience building evaluation frameworks for high-cost ML deployments (robotics).
  • Proven ability to lead technical projects and mentor engineers.

🎁 Benefits

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