Data Scientist

Job Description: Data Scientist (Minimum 5 Years – ML, NLP, GenAI/LLM/RAG) **Only immediate Joiners Position: Data Scientist Experience Requirement: Minimum 5 years of hands-on experience in Data Science Location: Hybrid[Gurgaon/ Bangalore] Employment Type: Full-time About the Role We are looking for a highly skilled Data Scientist with at least 5 years of industry experience. The ideal candidate must have a strong foundation in Classical Machine Learning, extensive experience in NLP, and recent, practical experience working with Generative AI, LLMs (including LLaMA), and RAG-based architectures. You will be responsible for building end-to-end AI solutions that solve real-world business problems. Key Responsibilities - Develop, evaluate, and optimize Classical ML models such as: - Random Forest, XGBoost - Clustering (K-Means, DBSCAN) - Segmentation techniques - Build, fine-tune, and maintain NLP models for tasks like text classification, NER, sentiment analysis, summarization, topic modeling, and document processing. - Work with LLMs and Generative AI models (LLaMA, GPT, Mistral, etc.) including fine-tuning, prompt engineering, and experimentation. - Design and implement RAG (Retrieval-Augmented Generation) systems—document chunking, embedding generation, vector database integration, and retrieval logic. - Collaborate cross-functionally to translate business requirements into robust AI/ML solutions. - Conduct comprehensive data analysis, preprocessing, feature engineering, and model evaluation. - Present insights clearly to both technical and non-technical stakeholders. Required Skills & Qualifications - Minimum 5 years of hands-on experience in Data Science (mandatory). - Solid experience with Classical Machine Learning techniques and tools. - Extensive, practical experience with Natural Language Processing, including modern libraries such as Hugging Face, spaCy, NLTK, and Gensim. - Strong hands-on experience with Generative AI and Large Language Models, including: - LLaMA, GPT, Mistral or similar models - Fine-tuning and prompt engineering - Proven experience building RAG pipelines with vector databases like FAISS, Chroma, Pinecone, or Weaviate. - Strong proficiency in Python and ML/NLP libraries (scikit-learn, PyTorch, TensorFlow). - Strong analytical and problem-solving skills. - Ability to clearly communicate complex concepts to diverse audiences. Preferred Qualifications - Experience creating end-to-end AI prototypes or applications. - Exposure to LLM evaluation techniques and benchmarking. - Experience in building conversational AI or search-driven GenAI systems. Why Join Us - Work on exciting GenAI, LLM, NLP, and RAG projects. - Opportunity to innovate and own end-to-end AI use cases. - Supportive, collaborative team culture. - Competitive package and benefits.