Transform Business Through Advanced Data Science Expertise

3 days ago

Aligarh, Uttar Pradesh, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Title: Data Scientist Specialist

About the Role:

We are seeking experienced and skilled Data Scientists to leverage the power of LLMs in designing, developing and deploying novel solutions within the sales enterprise domain.

This is not a role that involves simply calling APIs; instead, the successful candidate will be responsible for the entire lifecycle of LLM-powered features and prototypes.

Main Responsibilities:

  • Design & Develop LLM Solutions: Conceptualize, design and implement robust and scalable applications utilizing LLMs.
  • Advanced Prompt Engineering: Develop, test and refine complex prompts and prompt chains to steer model behavior, ensure accuracy and optimize for performance and cost.
  • AI Agent & Orchestration: Build and deploy autonomous agents and multi-step workflows using frameworks like LangChain, LlamaIndex or similar tools. This includes integrating LLMs with APIs, databases and other external tools.
  • Prototyping & Experimentation: Rapidly prototype new ideas, conduct experiments to evaluate different models and techniques (e.g., RAG vs. fine-tuning) and present findings to technical and non-technical stakeholders.
  • Evaluation & Monitoring: Establish robust metrics and evaluation frameworks 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 proactively identify opportunities to apply new research to our products.
Required Skills and Qualifications:
  • 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, LangGraph).
  • Solid understanding of core machine learning concepts and the fundamentals of how LLMs work (e.g., transformers, attention mechanism, embeddings).
  • 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, with the ability to explain 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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