AI Innovator

2 days ago


Anantapur, Andhra Pradesh, India beBeeDataScience Full time ₹ 20,00,000 - ₹ 25,00,000

About us:

We are revolutionizing enterprise sales intelligence with cutting-edge AI solutions for forecasting, deal guidance, and revenue operations.

Our team empowers enterprise teams to make data-driven decisions, optimize sales execution, and drive productivity at scale.

As a Senior Data Scientist, you will leverage the power of LLMs to design, develop and deploy novel solutions in the sales enterprise domain.

You will be part of a founding team aiming to ideate, design and revolutionize the natural language application ecosystem.

Key Responsibilities:
  • Design & Develop LLM Solutions: Conceptualize, design, and implement robust and scalable applications leveraging 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 the field of Generative AI and proactively 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, 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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