Description

You will design and implement machine learning operations architectures within Azure environments to support large-scale AI workloads.

This role is on-site.

Responsibilities

• Design and deploy MLOps workflows to support AI/ML lifecycles.
• Develop and maintain APIs to integrate machine learning models into production services.
• Architect scalable infrastructure on Azure for large-scale AI workloads.
• Implement best practices for model deployment and lifecycle management.

Required Skills

• 14+ years of professional experience in software or data engineering.
• Expertise in Python programming.
• Strong background in MLOps principles and implementation.
• Proven experience with Azure cloud services.
• Deep understanding of AI/ML development workflows.
• Experience with API development and integration.
• Familiarity with Large Language Model (LLM) concepts.
• Bachelor's degree in any field.

Key Skills

Education

Any Graduate