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) systemsdocument 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.
