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 (India)
🏢 EXL Service
📍 India