Description

You will integrate data engineering pipelines with MLOps workflows in a senior engineering capacity.

Responsibilities

• Build and maintain data engineering pipelines using Azure Data Factory.
• Develop and deploy machine learning models within Databricks environments.
• Implement MLOps practices to automate model deployment and monitoring.
• Write clean, scalable Python code for data processing and model training.

Required Skills

• 9+ years of professional experience in engineering roles.
• Proficiency in Python for data science and automation.
• Hands-on experience with Data Engineering workflows.
• Experience implementing MLOps lifecycles.
• Direct experience using Azure Data Factory (ADF).
• Experience working with Databricks.
• Bachelor's degree or equivalent experience.

Key Skills

Education

Any Graduate