Description

You will build and maintain scalable machine learning models using Python and Databricks, while implementing MLOps practices for deployment and monitoring.

This role is hybrid.

Responsibilities

• Develop and maintain APIs to support model deployment and integration with enterprise systems.
• Implement MLOps practices for model versioning, monitoring, and automation.
• Collaborate with developers and system administrators to resolve technical issues.
• Troubleshoot complex data and model-related challenges using strong problem-solving skills.
• Communicate technical solutions effectively with stakeholders.

Required Skills

• 6+ years of experience in Python development and data engineering.
• Hands-on experience with Databricks and model lifecycle management.
• Experience building and deploying APIs.
• Familiarity with MLOps tools and frameworks.
• Strong understanding of data science workflows and automation.
• Proficiency in Python.
• Experience with Databricks.
• Knowledge of MLOps Tools.

Preferred Skills

• 10+ years of total working experience.

Key Skills

Education

Any Graduate