- 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)