AI Infrastructure Engineer

You will work closely with ML engineers, data scientists, and DevOps teams to ensure scalable, high-performance, and reliable AI pipelines.

Responsibilities

• Design, deploy, and maintain GPU/TPU clusters, high-performance computing systems, and cloud infrastructure for AI workloads.
• Build and optimise data pipelines to support training and inference for large AI models.
• Collaborate with ML engineers to deploy models efficiently at scale.
• Monitor and troubleshoot infrastructure performance, availability, and security.
• Automate workflows and infrastructure using CI/CD and Infrastructure-as-Code tools.
• Evaluate and integrate emerging AI infrastructure technologies and frameworks.
• Ensure cost-efficient, reliable, and scalable AI operations across production and research environments.
• Maintain documentation for systems, workflows, and best practices.