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Chief AI Infrastructure Architect
2 weeks ago
About this role
We're looking for an experienced Machine Learning Engineer to help us build the infrastructure that enables AI-first capabilities. As a key member of our GenAI Platform Group, you'll be responsible for architecting foundational AI platform capabilities, leading cross-team initiatives, and building high-performance systems.
- Architecting AI platform capabilities and making key technical decisions that impact how models are trained and deployed.
- Leading cross-team initiatives to consolidate and improve dataset and training capabilities, working with stakeholders across multiple engineering and research teams.
- Building and maintaining paved roads for high-performance distributed data processing and training systems, optimising for cost efficiency and developer experience.
You'll need to have a strong understanding of distributed computing, container orchestration (Kubernetes), and cloud infrastructure (preferably AWS). You should also be fluent in Python with deep knowledge of ML frameworks (PyTorch, TensorFlow) and modern tools (W&B, Ray, Anyscale).
We celebrate all types of skills and backgrounds, so even if you don't feel like your skills quite match what's listed above, we still want to hear from you.
Key Responsibilities- Architecting AI platform capabilities.
- Leading cross-team initiatives.
- Building high-performance systems.
- Machine learning expertise.
- Ai/ml infrastructure design.
- Technical direction and architecture.
- Cloud infrastructure knowledge.
- Python proficiency.
- Performance optimisation.
