Data Scientist

6 days ago

Gurgaon, Haryana, India EXL Full time ₹ 4,50,000 - ₹ 9,00,000 per year

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.

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