Data Scientist

3 - 5 years

15 - 30 Lacs

Posted:1 hour ago| Platform: Naukri logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Role & responsibilities

  • Evaluate, fine-tune, and deploy production-ready models using the latest open-source and commercial model families (e.g., GPT-4o, Claude 3, Mixtral, LLaMA 3, Gemini).
  • Develop and manage domain-specific generative models for tasks like summarization, classification, extraction, and generation using Transformers and LLMs.
  • Build and maintain retrieval-augmented generation (RAG) pipelines, including vector databases (e.g., Weaviate, FAISS, LanceDB, Pinecone).
  • Work with frameworks such as LangChain, LlamaIndex for prompt chaining, agent orchestration, and memory-enabled AI.
  • Optimize for commercial KPIs such as inference cost, latency, model accuracy, and scalability.
  • Keep up to date with the evolving landscape of AI/ML and recommend tools, models, or practices that can improve team capabilities.

Preferred candidate profile

  • Programming:

    Expert-level proficiency in Python and common ML/AI libraries (NumPy, Pandas, scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, LangChain).
  • LLMs & NLP:

    Deep experience working with transformer-based architectures and LLMs, including prompt engineering, fine-tuning, and instruction-tuning.
  • Generative AI:

    Practical knowledge in building GenAI applications using both open-source (Mistral, LLaMA) and API-based (OpenAI, Anthropic) models.
  • RAG & Vector Search:

    Experience with RAG architecture and vector databases like FAISS, Pinecone, or Qdrant.
  • Machine Learning & Deep Learning:

    Solid understanding of supervised, unsupervised, and reinforcement learning algorithms.

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