AI / ML Engineer

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)

Good 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 Python, LLM, Prompt engineering, Vector databases, RAG architecture, Agentic libraries(Lang chain/Lang graph/Autogen), Computer Vision, Document Processing

Qualification 15 years full time education