Description

Design, deploy, and maintain AI-driven operational workflows.

This role is hybrid.

Responsibilities

• Build retrieval-augmented generation (RAG) pipelines, embeddings, and vector-based search solutions.
• Collaborate with data engineers and scientists to develop scalable data pipelines.
• Implement MLOps best practices, including model versioning, CI/CD pipelines, and monitoring.
• Integrate AI solutions with enterprise applications via APIs, Azure Functions, and Logic Apps.

Required Skills

• 8+ years of hands-on experience with the Microsoft AI stack.
• Strong expertise in Azure Machine Learning, Azure OpenAI, and Cognitive Services.
• Proficiency in data engineering using Azure Data Factory, Databricks, and Synapse.
• Experience with MLOps/DevOps practices using Azure DevOps and GitHub Actions.
• Proficiency in implementing CI/CD pipelines.
• Familiarity with application integration via Azure Functions, Logic Apps, and REST APIs.
• Understanding of security, governance, and compliance standards for enterprise AI.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate