AI Infrastructure / ML Infrastructure Engineer

Title: AI Infrastructure / ML Infrastructure Engineer Job Type: Contract Contract Length: 12 Months Pay Range: $50/hr – $175/hr Start Date: ASAP Location: Remote About The Opportunity 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 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. Key Responsibilities & Deliverables This role is focused on the successful completion of specific tasks and deliverables. Your responsibilities will include: 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. Required Skills & Experience: We are looking for someone with a proven track record of successful contract engagements. The ideal candidate will have: 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.