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.