Overview: We're looking for a software engineer to help build and optimize the infrastructure behind large-scale AI model training and deployment. This role involves working across the full ML lifecycle - from data processing and training pipelines to efficient inference in production environments.

Make sure to apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below. What You'll Do: Develop scalable, distributed training and evaluation pipelines

Optimize model performance and system efficiency across different compute environments

Collaborate with ML teams to integrate models into production systems

Build tooling for deployment, monitoring, and continuous improvement of AI models

What We're Looking For: Strong programming skills (Python, C++, or similar)

Experience with ML frameworks (e.g. PyTorch, TensorFlow, JAX)

Familiarity with cloud infrastructure and distributed systems

Solid understanding of performance optimization and system design