Our Client is seeking a Machine Learning & AI Infrastructure Engineer. This is not a traditional AI Engineer or Data Scientist role. The hiring team is specifically seeking a unique blend of: HPC Administrator + Kubernetes Administrator + AI Infrastructure Operations Engineer. Candidates who have owned, operated, supported, and troubleshot production AI or HPC environments will be the strongest fit. Experience administering and maintaining systems is significantly more important than architecture-only experience.

Responsibilities:

• Administer and support AI and HPC cluster environments
• Manage day-to-day operations of large-scale compute infrastructure
• Deploy, maintain, and troubleshoot Kubernetes-based platforms
• Ensure reliability, performance, and scalability across compute, storage, and networking environments
• Support AI model training and inference infrastructure
• Automate operational processes through scripting and tooling
• Partner with engineering teams and customers to optimize platform performance
• Troubleshoot complex infrastructure, networking, storage, and containerization issues
• Support both internal platforms and customer-facing environments

Why Consider This Opportunity?

• 100% Remote Environment
• Exposure to cutting-edge AI, GenAI, and HPC technologies
• Flat organizational structure with minimal bureaucracy
• Direct impact on strategic technology initiatives
• Opportunity to work on platforms that support healthcare, research, drug discovery, and other meaningful AI-driven innovations
• High visibility and collaboration with industry-leading technical teams

Compensation & Benefits:

• Base Salary: $175,000 – $200,000+
• Annual Bonus: Typically 10%-15%
• Medical, Dental, and Vision Coverage
• 401(k)
• Additional performance-based incentives