Description

You will own the engineering aspects of machine learning, specifically supporting a platform migration from Databricks to AWS SageMaker.

This role is on-site.

Responsibilities

• Build and deploy machine learning models into production environments.
• Manage the migration of workloads from Databricks to AWS SageMaker.
• Own the end-to-end ML Ops lifecycle.
• Implement containerization strategies for model deployment.

Required Skills

• 3+ years of experience in an engineering-focused role.
• Expert-level proficiency with AWS SageMaker.
• Hands-on experience with Databricks.
• Strong Python programming skills.
• Proficiency in SQL for data manipulation.
• Experience with ML Ops workflows.
• Practical knowledge of containerization.
• Background in software or systems engineering rather than pure data science.

Key Skills

Education

Any Graduate