Ai ML Engineer

Roles and Responsibilities :

• o Design, develop, and deploy enterprise-grade AI applications using Azure AI Foundry and Azure OpenAI.

  o Build reusable AI services, accelerators, SDKs, and frameworks to support business adoption of Generative AI.

  o Deliver scalable, secure, and maintainable AI solutions across development, test, and production environments.

  o Collaborate with business stakeholders, architects, platform teams, and developers to deliver AI-enabled business capabilities.

  • Agentic AI & Intelligent Automation

  o Design and implement agentic AI solutions using Azure AI Foundry and LangGraph.

  o Develop AI agents capable of planning, reasoning, tool usage, workflow orchestration, and task execution.

  o Build multi-agent systems that collaborate to solve business and operational use cases.

  o Implement human-in-the-loop, approval, escalation, and governance patterns within agentic workflows.

  o Develop intelligent assistants, copilots, and automated business process solutions.

  • LLM & Generative AI Solutions

  o Implement enterprise AI patterns including:

  o Retrieval-Augmented Generation (RAG)

  o Agentic AI

  o Prompt orchestration

  o Semantic search

  o Knowledge grounding

  o Function calling

  o Tool integration

  o Conversational AI

Job Requirements :

• 8-10 years of experience in AI/ML engineering with expertise in natural language processing (NLP) or similar domains.
• Strong proficiency in Python programming language with knowledge of popular libraries like TensorFlow, PyTorch, scikit-learn etc. .
• Experience working on big data processing tasks including data preprocessing, feature engineering, and model evaluation.