AI System Analyst (Location: Cyberport)
The Role:
An AI System Analyst operates at the intersection of IT infrastructure, systems engineering, and AI Operations (AIOps). In this role, you will empower clients to effectively leverage our High-Performance Computing (HPC) solutions for their AI workloads. Unlike traditional enterprise IT roles, this position focuses directly on specialized hardware (GPU clusters), model execution runtimes, and deployment pipeline troubleshooting to keep production AI workload and LLM services running reliably.
Key Responsibilities:
Job & Cluster Management:
Support clients in deploying, running, and scaling AI workloads across HPC clusters using Slurm and Kubernetes.
Client Support for Model Lifecycle:
Delivers prompt technical support to configure, troubleshoot, and optimize containerized AI microservices (Docker, Kubernetes, vLLM).
Assist clients with fine-tuning, training, and serving open-weight and enterprise models (e.g., Qwen, DeepSeek, Llama series).
Hardware & Network Operations:
Monitor and maintain GPU/NPU compute clusters (e.g., NVIDIA H100/H800) and high-speed interconnects (NVLink, InfiniBand, RoCE).
Performance Optimization:
Provide technical guidance to optimize client AI workflows for throughput, memory efficiency, and overall performance.
Client Engagement:
Participate in technical discussions and client meetings to deliver prompt, actionable solutions.
Requirements:
Bachelor’s degree or High Diploma in Computer Science, Data Engineering, Information Technology, or relevant field.
2–5 years in Linux systems administration, DevOps, HPC engineering, or cloud infrastructure operations.
Deep knowledge in the following area:
Deep learning frameworks (PyTorch/TensorFlow), GPU optimization, and Slurm workload orchestration.
Advanced Linux administration (e.g Ubuntu Server)
Python AI Ecosystem (essential for debugging AI libraries and automation)
Containers & Orchestration: Kubernetes, Docker, Helm charts, and containerized GPU runtime configurations (NVIDIA Container Toolkit)
Strong technical consulting and client-facing problem-solving skills.
Related certifications like Certified Kubernetes Administrator or NVIDIA Certified Associate are desirable
Attractive remuneration package and fringe benefit will be offered to the right candidate. Interested parties please send your resume with cover letter, stating current and expected salary to the Human Resources & Administration Department by clicking Apply Now.
For more information about us, please visit the corporate website at https://www.oneas1a.com/
Equal employment opportunities apply to all applicants. All applications and data collected will be treated in strict confidence and used exclusively for recruitment purposes. Only short-listed candidates will be invited for interview. The company will retain the applications for a maximum period of 12 months and may refer suitable candidates to other vacancies within the Group.