Data Scientist - LLM

Job Title:

Location:

Employment Type:

Role Type:

About Aviso AIL:

Aviso AI is revolutionizing enterprise sales intelligence with cutting-edge AI solutions for forecasting, deal guidance, and revenue operations. By leveraging machine learning and advanced analytics, we empower enterprise teams to make data-driven decisions, optimize sales execution, and drive productivity at scale.

Role Overview:

We are seeking experienced and creative Data Scientists to leverage the power of LLMs to design, develop and deploy novel solutions in the sales enterprise domain. This is not a role to just call the APIs, the right candidate will be responsible for the entire lifecycle of LLM-powered features and prototypes. You will be a 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.

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.