AI Infrastructure Engineer

Placements24; Noord-Kaap; On-site; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Annual bonus

On-site Kimberley

Health insurance

Dental & vision

Retirement plan

Professional development

Job summary

Placements24 is seeking a skilled AI Infrastructure Engineer to join the on-site team in Kimberley. You will design, deploy, and manage scalable AI infrastructure, covering compute, storage, and cloud resources to support AI/ML model development and deployment.

You will work with AI/ML engineers to optimize performance, implement Kubernetes and Docker for ML workflows, and ensure security and cost efficiency.

Qualifications

• Bachelor's degree in CS, engineering or related field.
• Proven experience in infrastructure engineering for AI/ML environments.
• Strong knowledge of cloud platforms and containerization.
• Experience with cluster management and networking is preferred.

Responsibilities

• Design, implement, and manage scalable AI infrastructure.
• Deploy and maintain ML platforms and tools (Kubernetes, Docker, MLflow).
• Monitor performance and optimize infrastructure for AI workloads.
• Collaborate with AI/ML engineers to understand needs.
• Ensure security and cost-effectiveness of infrastructure.

Skills

AI infrastructure design

Cloud computing

Performance optimization

Team collaboration

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Kubernetes

Docker

MLflow

AWS

Azure

GCP

Job description

About the Role

Our client is looking for a skilled AI Infrastructure Engineer to join their on-site team in Kimberley . This role is crucial for building and maintaining the high-performance computing infrastructure required for developing and deploying advanced AI and machine learning models. You will manage hardware, software, and cloud resources, ensuring scalability, reliability, and efficiency. This is an excellent opportunity for an infrastructure expert to play a key role in enabling cutting-edge AI research and development within a growing organization.

Key Responsibilities

• Design, implement, and manage scalable and reliable AI infrastructure, including compute clusters and storage solutions.
• Deploy and maintain ML platforms, frameworks, and tools (e.g., Kubernetes, Docker, MLflow).
• Monitor system performance, identify bottlenecks, and optimize infrastructure for AI workloads.
• Collaborate with AI/ML engineers and researchers to understand their infrastructure needs.
• Ensure the security and cost-effectiveness of the AI infrastructure.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience in infrastructure engineering, with a focus on AI/ML environments .
• Strong knowledge of cloud computing platforms (AWS, Azure, GCP) and containerization technologies.
• Experience with cluster management, networking, and performance tuning.
• Familiarity with common AI/ML frameworks and libraries is a plus.

Benefits

• Competitive salary and annual bonus.
• On‑site work environment in Kimberley with opportunities for collaboration.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and retirement savings plan.
• Access to advanced technology and professional development opportunities.