Data Scientist/AI Engineer - Generative AI in Pune, भारत

Roles & Responsibilities:- Design and develop intelligent AI-based applications using advanced NLP and LLM techniques to solve real-world business challenges in financial services.- Build and optimize Retrieval-Augmented Generation (RAG) pipelines leveraging structured and unstructured financial data.- Integrate and orchestrate LLMs/SLMs for question-answering, summarization, semantic search, and document understanding.- Develop and maintain RESTful APIs (sync and async) to serve NLP models and chatbot interfaces using frameworks like FastAPI, Flask, etc.- Implement semantic search, hybrid search, and text retrieval systems using Elasticsearch and vector databases (e.g., FAISS, Pinecone, Weaviate).- Perform NLP tasks such as entity recognition, text classification, intent detection, embedding generation, and sentiment analysis.- Monitor and fine-tune LLM/SLM performance with real-world user data to improve relevance, latency, and accuracy.- Build, train, and evaluate deep learning models for NLP tasks including classification, NER, summarization, and embedding generation.- Develop traditional machine learning models (e.g., regression, decision trees, clustering) for structured data analysis and prediction https://jobeax.com/link/Ah93JhB67XAwQ6yC Stack & Requirements:- 3+ years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, NLP, or Generative AI application development.- Strong hands-on experience in Python programming, backend development, and API development.- Experience with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, or Scikit-learn.- Hands-on experience building or implementing Retrieval Augmented Generation (RAG) solutions, vector search, or knowledge-based AI applications.- Experience with Prompt Engineering and Generative AI frameworks such as LangChain, LangGraph, AI Agents, or Azure OpenAI.- Experience developing, consuming, or integrating APIs using Python frameworks such as FastAPI or Flask.- https://jobeax.com/link/2DENLGgQM7whDhaE / https://jobeax.com/link/s1WvHFV9ITSwCkyS from Tier 1 Colleges (IIT, NIT, BITS, IIIT, DTU, NSUT) is mandatory.- Candidate should be below 28 years of https://jobeax.com/link/CKXYciFEKJDvQ1OB Process:- 3 Technical Rounds- Underwriting Call- Criminal Check- HR Discussion (ref:hirist.tech)