Databricks Certified ML Ops Engineer

Job Summary

A company is looking for an ML Ops Engineer- Databricks Certified.

Key Responsibilities

• Design and maintain robust ML workflows using Databricks, MLflow, Delta Lake, and Spark
• Implement and manage CI/CD pipelines with tools such as GitHub Actions, Azure DevOps, or Jenkins
• Utilize cloud platforms like AWS, Azure, or GCP to enhance ML operations and ensure model governance and production reliability

Required Qualifications

• 5-10 years of experience in ML Ops, Data Engineering, or a related field within cloud environments
• Databricks Certification, such as Associate Data Engineer, Professional Data Engineer, or ML Practitioner
• Proven experience in building and managing ML pipelines with tools like MLflow, Delta Lake, and Spark
• Proficiency in CI/CD tools and cloud platforms (AWS, Azure, or GCP)
• Strong understanding of model governance and production reliability