Associate - Data Scientist

• Experience with Programming (Python, SQL, 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, monitoring, and guardrails
• B.Tech / B.E. (Preferably from Tier-1 institutes)

• 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
  • Recommendation systems
• 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
• Deploy, monitor, and manage solutions using Docker and cloud platforms
• Implement output validation, monitoring, and evaluation frameworks for production reliability.