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 ResponsibilitiesDesign, build, train, and optimize Machine Learning and NLP modelsWork on LLM fine-tuning, inference, evaluation, and prompt engineeringDevelop and implement RAG (Retrieval-Augmented Generation) pipelinesBuild pipelines using embeddings and vector databases (Pinecone, FAISS, Chroma, Milvus, etc.)Perform data preprocessing, feature engineering, and dataset preparationOptimize models for latency, scalability, and performanceDeploy ML/NLP models using FastAPI/Flask and integrate with production systemsCollaborate with engineering, product, and business teams to understand requirements and deliver solutionsMonitor model performance and ensure continuous improvement through experimentationMandatory Technical SkillsStrong proficiency in PythonStrong fundamentals in Machine Learning & Deep LearningStrong knowledge of NLP techniquesExperience with Large Language Models (LLMs)Hands-on experience with PyTorchHands-on experience with Hugging Face TransformersExperience with Vector Databases (Pinecone, FAISS, Chroma, Milvus, etc.)Data preprocessing, model training, evaluation, and optimization experiencePreferred / Good-to-Have SkillsModel deployment experience using FastAPI / FlaskKnowledge of Docker and containerized deploymentVersion control using GitFamiliarity with Jupyter Notebook / VS CodeExposure to Cloud platforms (AWS / Azure / GCP – optional)Understanding of MLOps concepts and CI/CD pipelines (added advantage)Tools & TechnologiesPython, SQLPyTorch, HuggingFace TransformersVector DBs: Pinecone, FAISS, Chroma, MilvusFastAPI / FlaskDocker, GitJupyter Notebook / VS CodeCloud (optional)Project / Domain Exposure RequiredStrong experience in NLP-based projectsExposure to LLM training, fine-tuning, inference, evaluation, and optimizationExperience in developing end-to-end ML/NLP pipelinesDeployment experience in real-time production environments is preferredEducational QualificationBachelor’s Degree (B.Tech / B.E / B.Sc / MCA or equivalent)Soft Skills RequiredStrong analytical and problem-solving skillsAbility to work independently and in a team environmentStrong communication and documentation skillsAbility to handle multiple tasks and deliver within deadlines