1. MLOps & CI/CD: Experience building and managing CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, or similar automation tools.
2. Programming: Strong proficiency in Python and PySpark for data processing and model deployment workflows.
3. Containerization & Orchestration: Hands-on experience with Docker and Kubernetes for packaging, containerizing, and deploying ML models.
4. Version Control: Experience with Git/GitHub/GitLab and Model Codes release management practices.
5. Cloud Platforms (Preferred): Working knowledge of AWS, Azure, or GCP environments.