AI Infrastructure Engineer

You will work closely with ML engineers, data scientists, and DevOps teams to support model training, deployment, and high-performance AI operations.

Responsibilities

• Design, implement, and manage cloud and on-prem infrastructure for AI/ML training and inference.
• Build and maintain GPU/TPU clusters, high-performance computing environments, and distributed systems.
• Develop and optimise data pipelines to support large-scale model training.
• Work closely with ML engineers to deploy and operationalise AI models in production.
• Improve system performance, reliability, and efficiency for AI workloads.
• Automate infrastructure using IaC and CI/CD tools.

Requirements

• Strong experience with cloud platforms (AWS, GCP, Azure) and GPU-based compute.
• Proficiency with Linux, scripting (Python/Bash), and infrastructure automation.
• Hands-...