AI Infrastructure Engineer (over $40K)

Job Description

• Perform the tasks of coding, testing and deployment of application programs with AI technologies • Prepare test plan, test cases/scripts, testing/pre-production environment, perform Unit Test, System Integration Test, UAT • Perform system health check, Root Cause Analysis, Problem and Issues Reporting. System Implementation of proof-of-concepts, technical studies and related projects • To participate in pilot testing and studies of applicable new technologies running on different platforms and/or software stacks • Prepare user manual and technical specifications • To work with contractor to manage project progress and ensure the quality of deliverables • Perform any related tasks as assigned by Engineer(s), Senior Staff(s), Supervisor(s) and its representative. • High Diploma in Data Science, Computer Science, IT or equivalent • At least 4 years experience in related duties • Demonstrate strong expertise in containerization and orchestration technologies including Docker, Kubernetes with proven experience deploying AI workloads on-premises edge hardware • Proficiency in Linux system administration, networking (TCP/IP, VPN, DNS, firewall configuration), and secure remote access solutions (WireGuard, SSH tunneling) is required, particularly in the context of managing distributed systems across isolated or bandwidth-constrained remote sites • Solid experience in virtualization platforms such as VMware vSphere/ESXi, Microsoft Hyper-V, or KVM, including VM provisioning, migration, high availability (HA), and performance tuning • Solid experience in IT application/system development • Experience with GPU/NPU resource management, hardware sizing for inference workloads, and optimization of AI services for low-power or ruggedized edge devices is a strong advantage. Show More