Data Scientist LLM, NLP, ML (Pune City)

Job Title: Data Scientist LLM, NLP, ML & Anomaly Detection Location: Pune Experience Level: 4-8 years We are looking for a Data Scientist with expertise in Large Language Models (LLMs), Natural Language Processing (NLP), Machine Learning, and Anomaly Detection to join our AI & Data Science team. Key Responsibilities - Design, build, and deploy end-to-end AI/ML solutions. - Develop NLP applications including: - Named Entity Recognition (NER) - Text Classification & Sentiment Analysis - Information Extraction - Document Summarization & Question Answering - Semantic Search & Document Similarity - Build and fine-tune models using Hugging Face Transformers (BERT, RoBERTa, T5, etc.). - Process unstructured data from PDFs, emails, OCR documents, and web content. - Develop LLM-based applications using OpenAI, Azure OpenAI, LangChain, and LlamaIndex. - Design anomaly detection solutions for fraud detection, operational monitoring, and document/text analytics. - Implement Statistical, ML-based, Deep Learning, and Time-Series anomaly detection techniques. - Build scalable real-time and batch ML pipelines. - Perform feature engineering, model training, hyperparameter tuning, and model evaluation. - Deploy models using FastAPI/Flask and monitor production performance. - Collaborate with engineering, product, and business teams to deliver AI solutions. - Create data visualizations and communicate insights to stakeholders. Required Skills - 48 years of experience in Data Science or Machine Learning. - Solid Python skills (Pandas, NumPy, Scikit-learn, SciPy). - Experience with LangChain, LlamaIndex, OpenAI, or Azure OpenAI. - Hands-on experience with Hugging Face, spaCy, and NLTK. - Expertise in ML and Deep Learning using PyTorch or TensorFlow. - Experience with anomaly detection techniques such as Isolation Forest, LOF, One-Class SVM, Autoencoders, and LSTM. - Knowledge of Time-Series Analysis (ARIMA, Prophet, LSTM). - Proficiency in SQL and Vector Databases (FAISS, Pinec .