Senior Data Scientist

About the Role
We 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 FastAPI/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 PyTorch
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 FastAPI / 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
PyTorch, HuggingFace Transformers
Vector DBs: Pinecone, FAISS, Chroma, Milvus
FastAPI / 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

Work arrangement
No