Description

You will design, implement, and manage end-to-end MLOps pipelines to deliver production-ready machine learning solutions.

This role is on-site.

Responsibilities

• Design and implement end-to-end MLOps pipelines using Azure Databricks.
• Manage the full machine learning lifecycle from development to deployment.
• Deliver production-ready MLOps solutions with a focus on operational efficiency.
• Ensure robust pipeline infrastructure and scalability.
• Apply machine learning expertise to optimize operational workflows.

Required Skills

• 5+ years of professional experience in engineering roles.
• Strong expertise in Machine Learning concepts and lifecycle management.
• Hands-on experience with Azure Databricks.
• Ability to design scalable MLOps architectures.
• Any Graduate degree.

Key Skills

Education

Any Graduate