Staff MLOps Engineer
Tasks
- Build model registry and artifact management
- Coordinate deploy telemetry with data platforms
- Define MLOps platform architecture
- Develop automated evaluation and qualification harnesses
- Implement on robot inference path and rollback
- Mentor engineers through code and design reviews
- Own dataset lifecycle and versioning
- Package and deploy trained models for robot inference
- Set standards and tooling for repeatable auditable pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | BentoML | C++ | CI/CD | DVC | Datalineage | Delta | Determined | Docker | GCP | Git | Go | KServe | Kubernetes | LakeFS | MLflow | Model Registry | ONNX | ONNX Runtime | Python | Ray Serve | Rust | Telemetry | TensorRT | Torch compile | Weights and Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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