Machine Learning & AI Infrastructure Engineer

We are seeking a Machine Learning & AI Infrastructure Engineer to help design, deploy, and support advanced AI, machine learning, and high-performance computing (HPC) environments. This hands-on technical role will work directly with compute, storage, networking, and containerized infrastructure to deliver scalable, high-performance solutions for enterprise, healthcare, research, and academic organizations. The ideal candidate is passionate about AI infrastructure, thrives in complex technical environments, and enjoys solving challenging engineering problems while working alongside cross-functional teams., * Deploy, administer, and optimize AI and HPC infrastructure environments.

• Support compute, storage, networking, and container platforms across customer and internal environments.
• Troubleshoot system performance, reliability, and scalability issues.
• Assist with infrastructure automation and operational improvements.
• Collaborate with engineering teams to design and implement modern AI and machine learning platforms.
• Monitor and maintain infrastructure to ensure high availability and performance.
• Support customer implementations and ongoing operational needs.

Machine Learning, Artificial Intelligence (AI), Machine Learning, Artificial Intelligence (AI), Healthcare, Academic Research, Cross-Functional, Problem Solving Skills, Identify Issues, Systems Reliability, * Strong experience administering HPC bare-metal environments.

• Experience with NVIDIA Base Command Manager, Bright Cluster Manager, or similar HPC management platforms preferred.
• Hands-on Kubernetes administration experience, particularly with persistent storage provisioning and CSI integrations.
• Strong Linux administration skills, preferably Ubuntu.
• Experience with Bash and/or Python scripting.
• Strong troubleshooting and systems engineering capabilities., * Experience administering enterprise storage platforms such as Dell PowerScale/Isilon, VAST Storage, NetApp ONTAP, DDN IntelliFlash, or similar technologies.
• Experience with DDN Exascaler, Lustre, or other parallel file systems.
• Containerization and container orchestration experience.
• Familiarity with InfiniBand networking and NVIDIA UFM.
• Experience supporting enterprise Ethernet networking environments.
• Exposure to AI, machine learning, or GPU-accelerated computing environments.

What Success Looks Like

• Reliable deployment and operation of AI and HPC environments.
• Strong system performance, scalability, and uptime.
• Effective collaboration with engineering and customer teams.
• Continuous improvement of infrastructure automation and operational processes.
• Successful delivery of complex technical solutions supporting advanced AI and research initiatives.

KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Machine Learning & AI Infrastructure Engineer that is fully remote., Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.