Description

You will build and maintain end-to-end MLOps and LLMOps pipelines within the Azure ecosystem.

Responsibilities

• Implement end-to-end ML/LLM pipelines using Azure Machine Learning and Azure OpenAI.
• Design scalable infrastructure for training, deployment, and monitoring of models in production.
• Manage Azure Kubernetes Service (AKS) clusters and containerized machine learning workloads.
• Ensure model governance, versioning, and reproducibility using MLflow and Azure DevOps.
• Collaborate with data scientists to optimize model development, testing, and deployment processes.
• Monitor, troubleshoot, and maintain production ML systems to ensure high availability.

Required Skills

• 7+ years of experience with Python.
• 3+ years of experience with TypeScript.
• Hands-on experience with Azure Machine Learning and Azure OpenAI.
• Proficiency in Docker and Kubernetes (AKS).
• Experience implementing CI/CD pipelines via Azure DevOps.
• Practical knowledge of MLflow for model lifecycle management.
• Experience with LLM fine-tuning, prompt engineering, and model deployment.
• Familiarity with Terraform and monitoring tools like Prometheus or Grafana.
• Ability to document architecture, workflows, and best practices.

Preferred Skills

• Experience integrating DevSecOps practices into the ML lifecycle.

Key Skills

Education

Any Gradute