Build a complete MLOps infrastructure to automate the ML model lifecycle from training to production deployment.
Key activities:
- Create CI/CD pipelines for ML (e.g., MLflow, Kubeflow)
- Implement model versioning and model registry practices
- Set up production monitoring for model performance and drift
- Industrialize deployment to ensure reliability and repeatability
Email subject to use: RD004
📧 Pour postuler: internship@insomea.com