Staff MLOps Engineer
Tasks
- Build and operate model registry
- Coordinate deploy telemetry from fleet
- Create metrics framework for release gating
- Define promotion path from trained to deployed
- Define subsystem interfaces and engineering standards
- Design dataset lifecycle versioning and lineage
- Develop automated evaluation and qualification harnesses
- Ensure model reproducibility
- Lead by influence across teams
- Manage model artifacts and metadata
- Mentor engineers through code review and design review
- Own MLOps platform technical direction
- Own on robot versioning rollback and observability
- Package models for on robot inference
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | C++ | CI/CD | DVC | Delta | Determined | Docker | GCP | Git | Go | Kubernetes | LakeFS | MLflow | ONNX | Python | Rust | Telemetry | TensorRT | Weights and Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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