Founding Data Scientist

About the role

We are looking for a highly skilled and hands-on Founding Data Scientist to build, fine-tune, and post-train large language models (LLMs) that power autonomous AI agents. This is a founding-level opportunity to take ownership of the complete model improvement lifecycle, from training data creation and reward design to supervised fine-tuning (SFT), reinforcement learning, evaluation, and production deployment.

What you'll do

• Training and Inference: Execute distributed model training and high-throughput inference using PyTorch, FSDP, DeepSpeed, vLLM, and SGLang
• Conduct experiments with model architectures, training methodologies, and optimisation techniques to improve model quality and reliability
• Analyse model failures, identify performance bottlenecks, and implement improvements across the training and inference lifecycle
• Take end-to-end ownership of model development, from experimentation and training to deployment and ongoing optimisation

What you need

• 8–14 yrs of experience
• LLMs
• Machine learning
• Python
• PyTorch
• Any graduate

Good to have

• ETL