Senior Data Scientist for AI Product Development

4 days ago

Kollam, Kerala, India beBeeDataScience Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
AI Data Science Role

This role is focused on leveraging the power of Large Language Models (LLMs) to design, develop, and deploy novel solutions in the sales enterprise domain.

Key Responsibilities:

  • Design and Develop LLM Solutions: Conceptualize, implement robust and scalable applications leveraging LLMs.
  • Advanced Prompt Engineering: Develop complex prompts and prompt chains to steer model behavior, ensure accuracy, and optimize performance and cost.
  • AI Agent & Orchestration: Build and deploy autonomous agents using frameworks like LangChain or similar tools. Integrate LLMs with APIs, databases, and other external tools.
  • Prototyping & Experimentation: Rapidly prototype new ideas, conduct experiments to evaluate different models and techniques, and present findings to technical and non-technical stakeholders.
  • Evaluation & Monitoring: Establish metrics to measure the quality and reliability of LLM outputs. Monitor and iterate on deployed applications to improve performance.
  • Research & Innovation: Stay updated with the latest advancements in Generative AI and identify opportunities to apply new research to our products.

Requirements:

  • 4+ years of experience in data science or applied machine learning, with a strong track record of delivering production-ready models.
  • Practical experience with at least one major LLM application framework (LangChain, LlamaIndex, Semantic Kernel).
  • Solid understanding of core machine learning concepts and how LLMs work (e.g., transformers, attention mechanism).
  • Strong proficiency in Python and common data science libraries (e.g., pandas, NumPy, scikit-learn).
  • Familiarity with cloud ecosystems (AWS/GCP), data pipelines, and distributed computing (e.g., PySpark).
  • Ability to independently own problem statements end-to-end while collaborating in a multi-disciplinary team.
  • Excellent communication skills, explaining complex technical topics to product and business stakeholders.
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.

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