Project Role Description :Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data.
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 SummaryOwn end-to-end NLP Generative AI solutions from design to productionBuild scalable, cloud-native LLM-powered applications on AzureKey ResponsibilitiesDevelop LLM-based chatbots, RAG systems, and AI assistantsDesign data ingestion, preprocessing, and document update pipelinesImplement prompt engineering, embeddings, vector search,
and evaluationBuild async REST APIs using FastAPI / FlaskHandle rate limits, retries, load balancing, and fault tolerance for LLM APIsDeploy, monitor, and scale apps on Azure CloudDeliver rapid PoCs and MVPs under tight timelinesMentor juniors and support team deliveryMust-Have SkillsPython (advanced)NLP Generative AI (LLMs, RAG, prompt engineering)Azure OpenAI / LLM platformsFastAPI / Flask (async)Azure Cloud (App Service, Storage, AI Search, Cosmos DB)CI/CD, logging, monitoring (Jenkins, OpenTelemetry)Experience5+ years in NLP / AI / MLProven production deployment of GenAI systems
Qualification 15 years full time education
📌 Large Language Model Architect (Pune)
🏢 Accenture
📍 Pune
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