Back
Tier-1 brand, metro location, mid-level experience, and a visible ML role increase applicant competition.
ML/AI skills are transferable but Azure and agentic-framework specificity raise domain sensitivity to medium.
Explicit 3–5 years plus mandatory Azure AI, RAG and LLMOps skills make filters highly strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop, design, code, and test AI/ML-based applications using Azure AI Stack and advanced Agentic AI frameworks to support digital transformation.
Implement RAG (Retrieval-Augmented Generation) and manage LLM operations including evaluation with tools like LangSmith and RAGAS on Azure Function and Logic Apps.
Contribute to AI-driven product innovation within the Advisory line of service, focusing on operationalizing AI/ML solutions with measurable impact.
3-5 years experience with Python programming and Azure AI Stack including Foundry, ML, AI Search, Document Intelligence, and Vision.
Bachelor of Engineering (BTech/BE) degree required.
Mandatory certification: AI-102 (Designing and Implementing an Azure AI Solution).
Experience with RAG, Agentic Frameworks (LangGraph, LangChain, CrewAI), and LLMOps & Evaluation (LangSmith, RAGAS) is required.
Experienced professional adept in implementing complex AI solutions specifically using Azure AI PaaS and Agentic frameworks in an advisory or consulting environment.
Capable of operationalizing Retrieval-Augmented Generation (RAG) and managing lifecycle of large language models (LLMs) effectively.
Familiarity or exposure to cloud platforms GCP and AWS is preferred, indicating ability to work in multi-cloud setups.