Description

· 4–7+ years of hands-on experience in MLOps, ML engineering, or DevOps roles with exposure to

machine learning

workflows.

· Working knowledge of CI/CD tooling and practices applied to model deployment.

· Experience with containerization (Docker) and orchestration concepts (Kubernetes or equivalent).

· Proficiency in Python and SQL, with the ability to script and automate operational tasks.

· Familiarity with cloud platforms (Azure preferred) and their ML services

Key Skills

Education

Bachelor's degree