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Mid-level ML role at PwC in Bangalore with a popular title and metro location increases competition.
Specialized Azure AI, LLM and agentic-framework requirements reduce cross-industry transferability significantly.
Explicit 3-5 years plus mandatory Azure AI, LLMOps and agentic framework skills make shortlisting highly strict.
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Develop, design, code, and test innovative AI/ML applications using Azure AI Stack and Agentic AI frameworks to drive digital transformation.
Implement and manage AI retrieval-augmented generation (RAG) and large language model operations (LLMOps) with tools like LangGraph, LangChain, and LangSmith.
Leverage Azure Function Apps and Logic Apps to build scalable AI solutions integrating Python programming expertise.
3-5 years of experience in Python programming and working with Azure AI Stack components including Foundry, ML, AI Search, Document Intelligence, and Vision.
Bachelor's degree in Engineering (BTech or BE) required.
Mandatory certification: AI-102.
Experience with Agentic AI frameworks such as LangGraph, LangChain, CrewAI, and knowledge of LLMOps tools like LangSmith and RAGAS.
Experienced in operationalizing AI/ML models on cloud platforms, specifically Microsoft Azure AI PaaS.
Skilled in combining programming, AI frameworks, and cloud-native services to deliver AI-driven business solutions.
Familiar with retrieval-augmented generation (RAG) and agentic AI frameworks indicating a strong grasp of cutting-edge AI technologies.