Description

You will own the design, deployment, and monitoring of machine learning models and LLMs within the Azure ecosystem.

This role is hybrid.

Responsibilities

• Deploy and monitor LLMs in production environments using Azure AI Foundry and Azure OpenAI.
• Implement fine-tuning, prompt engineering, and inference optimization for generative AI applications.
• Build and maintain MLOps pipelines using Azure ML, Databricks, and CI/CD tools like Azure DevOps and GitHub Actions.
• Containerize models and services using Docker and manage deployments via AKS.
• Ensure reproducibility, version control, and monitoring across ML workflows.

Required Skills

• 6+ years of programming experience in Python.
• Hands-on experience with Azure ML, Azure AI Foundry, and Azure OpenAI.
• Proficiency in Azure services including AKS, Databricks, ADF, Synapse, and Azure Storage.
• Strong background in MLOps and ML Engineering.
• Experience deploying and monitoring LLMs in production.
• Knowledge of CI/CD for ML/LLMs using Azure DevOps or GitHub Actions.
• Familiarity with Docker and containerized deployments.

Preferred Skills

• Experience in Generative AI and LLM deployment projects.
• Strong analytical and problem-solving skills.

Key Skills

Education

Any Graduate