lead data scientist [up to 30k].

you will be designign and developing advanced machine learning models, with a focus on fine-tuning and deploying large language models (LLMs). You will work on cutting-edge projects involving unstructured data, embeddings, and real-time inferencing to drive impactful, AI-powered solutions.

about the job

• design and implement Retrieval-Augmented Generation (RAG) models for text-to-SQL workflows and other natural language processing applications.
• develop and optimize Bayesian modeling techniques to enhance LLM outputs, enabling data-driven insights for predictive and inferential tasks.
• create text-to-code solutions that bridge data visualizations and LLM capabilities, improving dashboard tool automation.
• build and refine systems for processing real-time chat history, ensuring contextual consistency and relevance in LLM responses.
• conduct experiments to evaluate and improve LLM performance, including optimization of prompt engineering strategies.

knowledge, skills and experience

• strong experience in designing and implementing Retrieval-Augmented Generation (RAG) models for text-to-SQL, text-to-code (data visualizations and dashboard tools) & real-time chat history.
• expertise in Bayesian modeling and its integration with LLMs for improved predictions and outputs.
• knowledge of industry standards such as ISO27001, particularly in relation to data security and compliance within LLM-based systems. (good to have)
• solid understanding of transformer architectures, embeddings, and vector databases.
• proven ability to work with large-scale unstructured text data and fine-tune LLMs for specific use cases.
• proficiency in Python, SQL, and experience with cloud technologies such as AWS.

how to apply