Staff MLOps Engineer
Tasks
- Coordinate ML and annotation infrastructure requirements
- Deploy monitoring for model performance and data drift
- Design pipeline automation CI CD and continuous training
- Manage versioning and storage for 2D 3D datasets
Perks/Benefits
Skills/Tech-stack
Airflow | Cloud Computing | Data Drift | Data Drift Detection | Data Versioning | Docker | Drift Detection | Git | Kubeflow | Kubernetes | Machine Learning | Model Monitoring | Prefect | Python | Unix Shell
Education
Master of Engineering | Master of Science | Master of Science in Computer Science | Master of Science in Mathematics
Roles
Regions
Countries
States
Cities
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