Job Description: Experience with Programming (Python, SQL, PyTorch) 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 (2-year practioner in data science): LangChain, RAG pipelines, Embeddings & vector databases,
- Experience in building FastAPI-based services and Dockerized deployments
- Experience building production-grade GenAI solutions
- Familiarity with:
- Multi-agent architectures and orchestration

Experience collaborating with UI/UX teams for AI-driven solution delivery
- Responsibilities: Build and deploy enterprise-grade Generative AI and ML solutions
- Design scalable AI systems enabling natural language-driven automation and insights




- Develop and implement GenAI workflows for enterprise use cases
- Analytics & reporting
- Document intelligence
- Design and implement advanced RAG (Retrieval-Augmented Generation) pipelines including:
- Embeddings
- Vector search
- Ranking and grounding mechanisms
- Build and expose AI capabilities via REST APIs and microservices
- Implement output validation, monitoring, and evaluation frameworks for production reliability
- Qualifications: Robust understanding of AI system evaluation, monitoring, and guardrails
- B.Tech / B.E. _(Preferably from Tier-1 institutes)_

📌 Data Scientist (Noida)
🏢 EXL Service
📍 Noida