Description

Design, develop, and deploy enterprise-grade AI/ML solutions using Azure AI Foundry, Python, and modern AI frameworks.

This role is on-site.

Responsibilities

• Design end-to-end AI architectures using Azure AI Foundry, Azure OpenAI, and Azure ML to define scalable, secure, and cost-efficient solutions.
• Develop AI pipelines and agents using Python, LangChain, Semantic Kernel, and Hugging Face Transformers for LLMs, RAG, and predictive models.
• Implement MLOps and LLMOps pipelines, including CI/CD, model monitoring, bias detection, and explainability.
• Build and deploy chatbots, copilots, and REST APIs using FastAPI or Flask, integrating with enterprise platforms via Azure Logic Apps.
• Design data pipelines using Azure Data Factory, Synapse, and Databricks to handle structured and unstructured data for AI workloads.

Required Skills

• 10+ years of experience in AI/ML architecture and development.
• Strong Python programming with hands-on experience in Azure AI Foundry, Azure OpenAI, and Azure ML.
• Experience with LLMs, prompt engineering, RAG pipelines, and frameworks like LangChain and Semantic Kernel.
• Proficiency in ML Ops, CI/CD pipelines, Docker, and Kubernetes.
• Knowledge of Vector databases (FAISS, Pinecone, Azure AI Search) and Cognitive Services.
• Experience with GitHub and Azure DevOps for version control and release management.
• Understanding of Responsible AI, data privacy policies (HIPAA, GDPR), and governance.
• Ability to design scalable architectures for Generative AI, NLP, and predictive models.

Preferred Skills

• Experience with Azure Graph and Logic Apps for enterprise integration.
• Background in healthcare or regulated industries requiring strict compliance.

Key Skills

Education

Any Graduate