Description

You will migrate ML workloads from GCP to Azure Databricks and build scalable, production-grade ML pipelines.

This role is remote.

Responsibilities

• Migrate machine learning workloads from Google Cloud Platform to Azure Databricks.
• Build and maintain scalable, production-grade ML pipelines using PySpark.
• Optimize ML pipeline workflows for performance and reliability.
• Implement CI/CD pipelines using GitHub Actions for model deployment.
• Collaborate with Data Science teams to support cross-cloud data engineering.

Required Skills

• 6+ years of experience in data engineering or MLOps.
• Proficiency in Azure Databricks and PySpark.
• Experience with MLflow for experiment tracking and model management.
• Strong knowledge of CI/CD tools, specifically GitHub Actions.
• Hands-on experience with both GCP and Azure cloud platforms.
• Proven track record of deploying and optimizing ML pipelines in production.

Key Skills

Education

Any Graduate