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Tier-1 brand, metro location, and mid-level generalist AI role increase candidate competition.
Specialized ML/AI and LLMOps skills are transferable across industries but require ML-specific expertise.
Explicit years and mandatory Azure AI/LLMOps and Python skills imply strict technical filtering.
Develop and maintain AI/ML solutions using Python and Azure AI Stack to support client digital transformation initiatives.
Implement and optimize technologies including RAG, Agentic Frameworks (LangGraph, LangChain, CrewAI), and manage LLM operations and evaluations (LangSmith, RAGAS).
Build and deploy cloud functions with Azure Function Apps and Logic Apps to enable scalable AI services.
4-8 years of work experience in relevant AI/ML software development roles.
Proficiency in Python programming with at least 3 years of experience.
Experience with Azure AI Stack components: Foundry, ML, AI Search, Document Intelligence, Vision.
Bachelor of Technology degree or equivalent in a relevant field.
Strong background in AI/ML engineering focused on Azure cloud technologies and large language model operations.
Experienced in developing agentic AI frameworks and retrieval-augmented generation (RAG) solutions.
Skilled in deploying and managing Azure cloud functions and logic integrations to deliver AI products at scale.