Data Scientist

Experience - 3–8 Years

Location - Gurgaon

Working hours - 2-11pm

Notice period - Immediate to 15 days

Key Responsibilities

• Design, develop, and deploy Machine Learning and Generative AI solutions.
• Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources.
• Develop AI agents using Agentic AI frameworks such as LangGraph, LangChain, CrewAI, or similar technologies.
• Integrate AI agents with enterprise APIs, tools, databases, and external services.
• Develop prompts, tool-calling workflows, and structured output pipelines for LLM applications.
• Fine-tune, evaluate, and optimize LLM-powered applications for accuracy, latency, and cost.
• Implement data preprocessing, feature engineering, and ML model training workflows.
• Work with structured and unstructured datasets to solve business problems.
• Collaborate with Product Managers, Software Engineers, and Subject Matter Experts to deliver AI-driven features.
• Monitor model and agent performance and participate in troubleshooting and continuous improvements.
• Write clean, maintainable, and well-tested Python code following engineering best practices.
• Stay updated with the latest advancements in Machine Learning, LLMs, and Agentic AI technologies.

Required Technical Skills

• Strong proficiency in Python
• Machine Learning fundamentals
• Natural Language Processing (NLP)
• Generative AI and Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Embeddings and semantic search
• Model evaluation and validation techniques