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
Solid 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

📌 Data Scientist Gurugram
🏢 Neurealm
📍 Gurugram