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