AI Engineer/AI Lead (Data Science / Machine Learning | Azure + MCP)

Expert AI Engineer/AI Lead (Data Science / Machine Learning | Azure + MCP)

Exp: 10+ years

Remote

Overview

We are seeking an experienced AI Engineer with a strong background in Data Science and Machine

Learning, and hands-on experience building and operating AI solutions on Microsoft Azure, including

Azure AI Foundry, Azure OpenAI, Fabric, and Azure MCP (Model Context Protocol). This role blends advanced ML/GenAI development with production-grade engineering and cloud architecture to deliver scalable, secure, enterprise AI systems.

Key Responsibilities

Build, fine-tune, and deploy ML and GenAI models (predictive models, NLP, embeddings, RAG pipelines, LLM-powered agents)

Design end-to-end AI architectures using Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure

ML/Fabric, Azure Functions, App Services, and AKS

Design and operate MCP servers to expose enterprise tools, data sources, and workflows to AI agents

Implement secure MCP connectors for knowledge bases, databases/APIs, and internal services with

RBAC and auditability

Partner with data engineers to build feature stores, training pipelines, and inference pipelines using

Fabric/ADLS/Databricks

Implement CI/CD for models and prompts, monitoring, drift detection, retraining pipelines, and versioning

Implement security and governance using RBAC, Managed Identities, Azure Key Vault, logging, and data lineage

Collaborate with Product, UX, Platform, and Business stakeholders to deliver production-grade AI systems

Required Qualifications

10+ years experience in Data Science, ML Engineering, or AI Engineering

Strong Python skills with PyTorch, TensorFlow, scikit-learn, and frameworks such as Lang Chain or

Semantic Kernel

Hands-on experience with Azure OpenAI, Azure AI Search, Azure ML/Fabric, Azure Functions or AKS

Experience building RAG architectures, AI agents, and AI APIs

Experience deploying ML/AI to production with monitoring, scaling, and reliability practices

Strong understanding of the ML lifecycle, feature engineering, prompt engineering, and vector databases

Please share suitable profiles for the requirement.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.