Staff MLOps Engineer - Ingénieur(e) MLOps expert(e) (niveau Staff)
Tasks
- Coordinate with ML and annotation teams to define infrastructure requirements
- Deploy and manage monitoring for model performance and data drift
- Design and maintain CI CD and continuous training pipelines
- Implement data versioning and storage strategies for large datasets
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | CI/CD | Data Drift | Data Drift Detection | Data Versioning | Docker | Drift Detection | Git | Kubeflow | Kubernetes | Model Monitoring | Prefect | Python | Unix Shell
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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