Description

You will design and manage MLOps and DevOps pipelines for AI solutions, automating model deployments and integrating Azure AI services into production systems.

This role is hybrid.

Responsibilities

• Design and maintain DevOps and MLOps pipelines for scalable AI applications.
• Automate the deployment of LLMs and AI models into enterprise environments.
• Integrate OpenAI and Azure AI services into existing production systems.
• Collaborate with AI/ML and Cloud teams to ensure reliable infrastructure delivery.
• Implement Infrastructure as Code practices using Terraform.

Required Skills

• 10+ years of experience in DevOps engineering.
• Expertise in Azure AI and Generative AI (GenAI) principles.
• Hands-on experience deploying LLMs using AI Foundry.
• Proficiency in Python for automation and scripting.
• Strong knowledge of Azure DevOps and CI/CD practices.
• Experience with containerization using Docker and Kubernetes.
• Familiarity with Jenkins for pipeline orchestration.

Preferred Skills

• Experience with MLOps-specific tools and frameworks.

Key Skills

Education

Any Graduate