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Tier-1 brand, mid-level ML role, Bangalore metro, and generalist demand drive high competition.
Core ML skills transfer across industries, but Azure and agentic-framework specialization increases domain specificity.
Mandatory 3+ years, Azure AI stack expertise and AI-102 certification create strict shortlisting filters.
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Design, code, and test AI/ML applications using Python and Azure AI Stack components like Foundry, ML, AI Search, Document Intelligence, and Vision.
Develop and manage Retrieval-Augmented Generation (RAG) and agentic AI frameworks including LangGraph, LangChain, and CrewAI, focusing on LLM operations and evaluation with LangSmith and RAGAS.
Utilize Azure Function Apps and Logic Apps to build scalable AI-driven solutions supporting digital transformation and business performance enhancement.
3-5 years of professional experience in software engineering focusing on AI/ML development.
Bachelor of Engineering (BTech/BE) degree.
Mandatory skills: Python programming (3+ years), Azure AI Stack (Foundry, ML, AI Search, Document Intelligence, Vision), RAG, Agentic AI frameworks (LangGraph, LangChain, CrewAI), LLMOps & Evaluation tools (LangSmith, RAGAS), Azure Function Apps, and Logic Apps.
AI-102 certification is mandatory. Work visa sponsorship not available.
Experienced with advanced AI and machine learning technologies, particularly in deploying and managing Azure Cloud AI services and agentic AI structures.
Capable of driving innovative software product development leveraging AI to solve complex industry problems and enhance user experience.
Comfortable in a consultancy environment focused on delivering measurable client impact through technology-led digital transformation.