AI Infrastructure / ML Infrastructure Engineer

Our client, a leader in AI testing, is looking for a skilled AI Infrastructure / ML Infrastructure Engineer to join their team for a 12-month remote contract engagement. This project involves provisioning, managing, and optimizing high-performance GPU clusters and infrastructure to support mission-critical AI applications. This is a high-impact role that requires a self-motivated professional who can hit the ground running and deliver results quickly.

Responsibilities

• Provisioning and managing high-performance GPU clusters using Terraform or CloudFormation.
• Building and maintaining the internal "Model Hub" for versioning and deploying AI models across the company.
• Optimizing the networking and storage layers to support multi-node distributed training.
• Implementing autoscaling logic to manage inference costs while meeting peak user demand.
• Designing high-availability infrastructure for mission-critical AI applications.

Requirements

• 5+ years of experience in Cloud Infrastructure or DevOps.
• Deep expertise in AWS/Azure/GCP, Kubernetes (EKS/GKE), and GPU orchestration. This isn't a learning role—you need to be a subject matter expert.
• Demonstrated ability to work autonomously and manage your own time effectively to meet project goals.
• Experience with Terraform, Docker, and monitoring tools like Prometheus/Grafana.
• Strong communication skills to provide clear and concise status updates to the project team.

Pay

$50/hr – $175/hr

Schedule

12-month contract, starting immediately. Remote.