Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.

Must have skills : Large Language Models (LLMs) Positive to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Role Summary Own end-to-end NLP & Generative AI solutions from design to production Build scalable, cloud-native LLM-powered applications on Azure Key Responsibilities Develop LLM-based chatbots, RAG systems, and AI assistants Design data ingestion, preprocessing, and document update pipelines Implement prompt engineering, embeddings, vector search,



and evaluation Build async REST APIs using FastAPI / Flask Handle rate limits, retries, load balancing, and fault tolerance for LLM APIs Deploy, monitor, and scale apps on Azure Cloud Deliver rapid PoCs and MVPs under tight timelines Mentor juniors and support team delivery Must-Have Skills Python (advanced) NLP & Generative AI (LLMs, RAG, prompt engineering) Azure OpenAI / LLM platforms FastAPI / Flask (async) Azure Cloud (App Service, Storage, AI Search, Cosmos DB) CI/CD, logging, monitoring (Jenkins, OpenTelemetry) Experience 5+ years in NLP / AI / ML Proven production deployment of GenAI systems Python, LLM, Prompt engineering, Vector databases, RAG architecture, Agentic libraries(Lang chain/Lang graph/Autogen), Computer Vision, Document Processing

📌 AI / ML Engineer (Bengaluru)
🏢 Accenture in India
📍 Bengaluru