AI Computing Infrastructure Engineer

Client of RFS Hr Consultancy

Location: UAE About Us:

RFS HR Consultancy connects global tech leaders with top-tier infrastructure and AI talent. We specialize in AI/ML engineering, computing hardware systems, and enterprise architecture roles across the UAE.

About Our Client:

Our client is advancing AI research and development with cutting-edge computing infrastructure. This role is central to managing high-performance systems that support large-scale AI workloads across enterprise applications.

Responsibilities:

• Support and manage GPU-based AI infrastructure in data center environments.
• Maintain HPC/AI clusters, network configurations, and compute performance.
• Collaborate with data scientists and AI teams to align system specs with ML workloads.
• Troubleshoot hardware and software issues related to AI frameworks.
• Automate deployment processes using DevOps and infrastructure-as-code tools.
• Ensure system reliability, scalability, and compliance with enterprise security standards.

Requirements:

• 3 5 years of experience in AI infrastructure, HPC systems, or large-scale computing environments.
• Strong hands-on knowledge of NVIDIA GPUs, CUDA, and Linux-based environments.
• Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or similar.
• Experience with DevOps tools like Docker, Kubernetes, Ansible, or Terraform.
• Solid understanding of storage and network architecture for distributed systems.
• Excellent problem-solving and collaboration skills.

What our client offers:

Competitive salary and a comprehensive benefits package