AI Engineer - Python/Machine Learning in Pune, भारत

Education:Must have https://jobeax.com/link/2DENLGgQM7whDhaE / https://jobeax.com/link/s1WvHFV9ITSwCkyS from Tier 1 Colleges (IIT's, NIT's, BITS) only.Position:Data Scientist / AI Engineer (Python, ML, RAG)Experience:3-5 years onlyLocation:PuneWorking Days:6 Days from Office (alternate Saturdays Working)Notice Period Requirement:30 Days (Maximum)Client's Company Size:Large-scale / GlobalRoles & 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 where required.- Monitor and fine-tune LLM/SLM performance with real-world user data to improve relevance, latency, and accuracy.- Exposure to LLMOps tools for monitoring, evaluation, and versioning of AI models in https://jobeax.com/link/IqeJUbEcFC0d4HKt Requirements:- Must have 3+ years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, NLP, or Generative AI application development.- Must have strong hands-on experience in Python programming, backend development, API development, and production-grade application support.- Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, or Scikit-learn.- Must have hands-on experience in NLP use cases such as text classification, sentiment analysis, entity recognition (NER), semantic search, embeddings, or document understanding.- Must have experience working with Large Language Models (LLMs) such as GPT, LLaMA, Mistral, Phi, Claude, Gemini, or similar models.- Must have hands-on experience building or implementing Retrieval Augmented Generation (RAG) solutions, vector search, semantic search, or knowledge-based AI applications.- Must have experience with Prompt Engineering and Generative AI frameworks such as LangChain, LangGraph, AI Agents, Azure OpenAI, or similar technologies.- Must have experience developing, consuming, or integrating APIs using Python frameworks such as FastAPI, Flask, or similar technologies. (ref:hirist.tech)