Data Scientist (LLM)

A Data Scientist focused on Large Language Models is needed to join the AI R&D team. You will design, train, and optimize LLMs that power real product features and internal tools. This role involves work on everything from architecture and data preparation to multi-scale training and evaluation. This is not a prompt engineering or RAG-focused role; they are looking for someone who gets the math, understands the models, and knows how to write code that scales. You’ll work side-by-side with engineers, MLOps, and product teams to make our LLMs smarter, faster, and more useful. Responsibilities include training and fine-tuning LLMs using multi-GPU and distributed setups, analyzing model performance, debugging failures, and implementing improvements. Work with curated and synthetic datasets, including classification and generation tasks. Design experiments, track results, and iterate quickly with tools like MLflow, write clean, production-ready code and collaborate via GitHub and push boundaries: think about architecture, memory efficiency, scale, and cost.