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PwC brand, mid-level ML role, and Bangalore location increase applicant competition.
Specialized Azure AI stack, agentic frameworks, and LLMOps requirements limit cross-industry transferability.
Explicit 4–8 years plus mandatory Azure AI, LLMOps, and Python skills drive high shortlisting strictness.
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Develop and deliver innovative AI/ML software solutions using Python and Azure AI Stack components (Foundry, ML, AI Search, Document Intelligence, Vision).
Implement and maintain AI frameworks including RAG and Agentic Frameworks such as LangGraph, LangChain, CrewAI, and manage LLMOps & Evaluation with LangSmith and RAGAS.
Develop Azure Function Apps and Logic Apps to support AI-driven applications and workflows.
4-8 years of relevant work experience in AI/ML software development.
Proficient in Python programming with at least 3 years of experience.
Hands-on experience with Azure AI Stack services (Foundry, ML, AI Search, Document Intelligence, Vision).
Bachelor's degree in engineering or related field (B.Tech/B.E.).
Strong expertise in building and operationalizing AI/ML solutions on Microsoft Azure platform.
Experience working with Agentic AI frameworks and LLM operations tools relevant to AI conversational systems.
Capable of owning end-to-end AI solution components including coding, deployment, and evaluation in an advisory or client-facing environment.