Data Scientist

• 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
• Build LLM-powered applications for:
  • 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: Strong understanding of AI system evaluation, monitoring, and guardrails
• B.Tech / B.E. (Preferably from Tier-1 institutes)