Data Scientist

Key Responsibilities Develop and deploy Generative AI and Machine Learning solutions Build AI-powered applications, chatbots, copilots, and automation tools Design and implement RAG pipelines, vector search, and prompt engineering techniques Train, fine-tune, evaluate, and optimize ML/LLM models Develop scalable APIs and integrate AI services with enterprise applications Work with structured and unstructured datasets for model training and analytics Collaborate with Data Engineers, DevOps teams, and business stakeholders Monitor model performance, scalability, and reliability in production environments Mandatory Skills Strong experience in Python programming Hands-on experience in Machine Learning and Deep Learning concepts Experience with LLMs and Generative AI frameworks Strong knowledge of Prompt Engineering and Retrieval-Augmented Generation (RAG) Experience with LangChain, LlamaIndex, Hugging Face, or OpenAI APIs Knowledge of Vector Databases such as Pinecone, FAISS, ChromaDB, or ...