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Tier-1 PwC, mid-level ML/AI role in Bangalore with common 3–5 year band creates high competition.
ML/AI skills are transferable, but Azure-specific and agentic-framework requirements raise domain sensitivity.
Explicit 3–5 years plus mandatory Azure AI, RAG and agentic-framework skills make shortlisting strict.
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Develop and deliver advanced AI/ML solutions using Azure AI Stack and Agentic AI frameworks to drive digital transformation.
Implement, test, and optimize cutting-edge AI applications including RAG and LLM operations leveraging tools like LangGraph, LangChain, and LangSmith.
Collaborate on software innovation projects that integrate Azure Function Apps and Logic Apps to enhance business performance.
3-5 years of professional experience in Python programming and AI/ML development.
Mandatory skills: Azure AI Stack (Foundry, ML, AI Search, Document Intelligence, Vision), RAG, Agentic Frameworks (LangGraph, LangChain, CrewAI), LLMOps & Evaluation (LangSmith, RAGAS), Azure Function Apps, Logic Apps.
Education: Bachelor of Engineering (BTech/BE) in a relevant field.
Certification AI-102 is mandatory.
Experienced with Microsoft Azure PaaS and familiar with cloud platforms such as GCP or AWS preferred.
Demonstrated expertise in AI frameworks for Retrieval-Augmented Generation (RAG) and large language model operations.
Strong technical background in Python with ability to integrate AI solutions using Azure services and Agentic AI technologies.