Senior data scientist

About the RoleWe are looking for highly skilled and motivated Data Scientists / NLP Data Scientists / ML Engineers with strong hands-on experience in Machine Learning, Natural Language Processing (NLP), and Large Language Models (LLMs). The ideal candidate should have practical exposure to building and deploying ML/NLP solutions in production environments, especially involving LLM fine-tuning, RAG pipelines, embeddings, and vector databases.Key Responsibilities

• Design, build, train, and optimize Machine Learning and NLP models
• Work on LLM fine-tuning, inference, evaluation, and prompt engineering
• Develop and implement RAG (Retrieval-Augmented Generation) pipelines
• Build pipelines using embeddings and vector databases (Pinecone, FAISS, Chroma, Milvus, etc.)
• Perform data preprocessing, feature engineering, and dataset preparation
• Optimize models for latency, scalability, and performance
• Deploy ML/NLP models using Fast API/Flask and integrate with production systems
• Collaborate with engineering, product, and business teams to understand requirements and deliver solutions
• Monitor model performance and ensure continuous improvement through experimentation Mandatory Technical Skills
• Strong proficiency in Python
• Strong fundamentals in Machine Learning & Deep Learning
• Strong knowledge of NLP techniques
• Experience with Large Language Models (LLMs)
• Hands-on experience with Py Torch
• Hands-on experience with Hugging Face Transformers
• Experience with Vector Databases (Pinecone, FAISS, Chroma, Milvus, etc.)
• Data preprocessing, model training, evaluation, and optimization experience Preferred / Good-to-Have Skills
• Model deployment experience using Fast API / Flask
• Knowledge of Docker and containerized deployment
• Version control using Git
• Familiarity with Jupyter Notebook / VS Code
• Exposure to Cloud platforms (AWS / Azure / GCP – optional)
• Understanding of MLOps concepts and CI/CD pipelines (added advantage) Tools & Technologies
• Python, SQL
• Py Torch, Hugging Face Transformers
• Vector DBs: Pinecone, FAISS, Chroma, Milvus
• Fast API / Flask
• Docker, Git
• Jupyter Notebook / VS Code
• Cloud (optional) Project / Domain Exposure Required
• Strong experience in NLP-based projects
• Exposure to LLM training, fine-tuning, inference, evaluation, and optimization
• Experience in developing end-to-end ML/NLP pipelines
• Deployment experience in real-time production environments is preferred Educational Qualification- Bachelor's Degree (B. Tech / B. E / B. Sc / MCA or equivalent)Soft Skills Required
• Strong analytical and problem-solving skills
• Ability to work independently and in a team environment
• Strong communication and documentation skills
• Ability to handle multiple tasks and deliver within deadlines