Description

You will configure and manage ML pipelines in production environments.

This role is hybrid.

Responsibilities

• Implement and maintain ML workflows using AzureML and Azure DevOps.
• Develop and deploy containerized AI/ML solutions on Linux platforms.
• Automate infrastructure provisioning using Infrastructure as Code tools.
• Collaborate with Data Science and Machine Learning teams to operationalize models.

Required Skills

• 7+ years of experience in DevOps or MLOps.
• Expert proficiency with the Azure Cloud Platform and AzureML.
• Expert knowledge of containerization technologies (Docker, Kubernetes).
• Strong programming skills in Python, Bash, or PowerShell.
• Experience with Infrastructure as Code (Terraform, ARM).
• Familiarity with CI/CD tools (Jenkins, GitHub Actions, ADO Pipelines).
• Proven experience working on Linux-based platforms for AI/ML.

Preferred Skills

• Strong analytical and problem-solving capabilities.

Key Skills

Education

Any Graduate