AI Infra Engineer for Scalable ML Platforms

Placements24; LegKraal Gate; On-site; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary

Performance incentives

Health benefits

Retirement fund

Learning and certifications

Modern infrastructure access

Innovative work culture

Job summary

Placements24 is seeking an AI Infrastructure Engineer to design, deploy, and maintain scalable AI and ML infrastructure at our Mahikeng facility. You will work across compute, storage, networking, and cloud environments to support AI research and development.

You will implement IaC, automate provisioning, monitor systems, and collaborate with data scientists to meet performance, security, and cost objectives.

Qualifications

• 3+ years of infrastructure engineering, systems administration, or DevOps in AI/ML environments.
• Experience with AWS, Azure, and/or GCP for AI/ML.
• Strong Linux, shell scripting, and containerization experience.
• Familiarity with Terraform and Ansible.

Responsibilities

• Design and manage scalable AI/ML infrastructure.
• Configure compute clusters, storage, and networking for AI systems.
• Deploy and manage Docker and Kubernetes for AI apps.
• Optimize performance, cost, and security of AI infra.
• Develop IaC scripts for provisioning and management.
• Monitor performance, identify bottlenecks, implement fixes.
• Collaborate with data scientists and ML engineers.
• Ensure security and compliance of AI infra.
• Stay updated with AI infra and cloud tech trends.
• Provide tech support for AI infrastructure issues.

Skills

Cloud platforms (AWS/Azure/GCP)

Linux scripting

Docker/Kubernetes

Terraform/Ansible

Networking

Monitoring

ML concepts

Security/compliance

Collaboration

Education

Bachelor's degree in Computer Science/Engineering

Tools

Docker

Kubernetes

Terraform

Ansible

Linux

Job description

Placements24 is seeking an AI Infrastructure Engineer to design, deploy, and maintain scalable AI and ML infrastructure at our Mahikeng facility. You will work across compute, storage, networking, and cloud environments to support AI research and development.

You will implement IaC, automate provisioning, monitor systems, and collaborate with data scientists to meet performance, security, and cost objectives.