ML Ops Engineer
Tasks
- Automate hardware-in-the-loop testing
- Automate on device testing
- Build reproducible evaluation pipelines
- Build reproducible training pipelines
- Ensure reproducibility across code config and models
- Implement ML CI for comparable runs
- Maintain model lifecycle registry
- Provide experiment tracking and logging
Perks/Benefits
- N/A
Skills/Tech-stack
CI/CD | Continuous integration | Docker | Experiment tracking | Git | Kubernetes | Logging | MLOps | Machine Learning | Model Registry | Python | Terraform
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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