We are looking for a highly technical ML Systems Engineer to architect and build scalable AI inference capabilities across heterogeneous environments. This role focuses on solving real-world challenges in AI model execution, runtime interoperability and performance optimization. You will operate at the intersection of machine learning, systems engineering, and software engineering, building platforms and tooling that standardise and simplify AI models serving in production environments.

• Inference Systems Engineering
• Design and develop abstractions, middleware, and system components to support model inference across Traditional and Generative AI
• Build integration layers across different model formats, execution engines, and deployment environments
• Ensure consistency, portability, reliability, and scalability of model execution
• Model Handling
  • Support diverse model architectures, including:
    ...