• Experience with Programming (Python, SQL, NoSQL, Spark) and ML tools and cloud technologies (AWS, Azure, GCP). • Deep understanding of ML algorithms for common use cases in both structured and unstructured data systems. • Experience with GenAI/ LLM tools (3-6 years practitioner in data science): LangChain, RAG pipelines, Embeddings & vector databases, Multi-modal LLMs, Fine-tuning techniques () • Experience in building FastAPI-based services and Dockerized deployments • Experience building production-grade GenAI solutions • Familiarity with: • Multi-agent architectures and orchestration • Exposure to enterprise analytics / BI tools: • Power BI, Tableau, or other visualization tools • Experience collaborating with UI/UX teams for AI-driven solution delivery • Experience with Programming (Python, SQL, NoSQL, Spark) and ML tools and cloud technologies (AWS, Azure, GCP). • Deep understanding of ML algorithms for common use cases in both structured and unstructured data systems. • Experience with GenAL/ LLM tools: LangChain, RAG pipelines, Embeddings & vector databases, Multi-modal LLMs, Fine-tuning techniques • Experience in building FastAPI-based services and Dockerized deployments • Experience building production-grade GenAI solutions • Familiarity with: • Multi-agent architectures and orchestration • Exposure to enterprise analytics / BI tools: • Power BI, Tableau, or other visualization tools • Experience collaborating with UI/UX teams for AI-driven solution delivery • Strong understanding of AI system evaluation, GenAI pipeline, AI application monitoring, and guardrails • B.Tech / B.E. (Preferably from Tier-1 institutes)