Data Scientist Llm Genai Delhi Onsite
Core
Design, develop, and deploy intelligent systems using LLMs and Generative AI for real-world industrial use cases involving NLP, automation, and decision intelligence.
Role type
Data Scientist specializing in LLMs and Generative AI
Builds
LLM-powered solutions (chatbots, copilots, document intelligence), end-to-end data pipelines, and production AI models
Domain
Industrial AI (Manufacturing, Defence, Oil & Gas)
Deliverable
production ML models
Required skills
Python (NumPy, Pandas, Scikit-learn), LLMs (OpenAI, LLaMA, Mistral), prompt engineering, RAG, fine-tuning, NLP techniques (tokenization, embeddings, transformers), PyTorch, TensorFlow, Hugging Face, vector databases (FAISS, Pinecone, Weaviate), API integration, model deployment
Preferred skills
LangChain, LlamaIndex, cloud platforms (AWS, Azure, GCP), Docker, Kubernetes, MLOps pipelines, GenAI product experience
Technologies
OpenAI, LLaMA, Mistral, PyTorch, TensorFlow, Hugging Face, FAISS, Pinecone, Weaviate, LangChain, LlamaIndex, AWS, Azure, GCP, Docker, Kubernetes
Responsibilities
Develop and deploy machine learning and deep learning models for real-world applications, Design and implement LLM-powered solutions, Work on fine-tuning, prompt engineering, and evaluation of LLMs, Build end-to-end data pipelines for data collection, preprocessing, and modeling, Collaborate with engineering teams to integrate AI models into production systems, Monitor model performance and ensure scalability and reliability
Seniority
Mid-level (2–5 years experience)