AI Infra Engineer - Scalable Cloud & ML (Upington)

Placements24; Riverton (UT); On-site; USD 36,000 - 54,000; Full time

Benefits offered by this job

Medical aid

Retirement fund

Professional development opportunities

Job summary

Placements24 in Upington, Northern Cape, seeks an AI Infrastructure Engineer to design, deploy, and optimize scalable AI infrastructure across AWS, Azure, and GCP. You will enable reliable, cost-efficient AI workloads by collaborating with data scientists and ML engineers.

You will build CI/CD pipelines, implement monitoring, and manage Docker/Kubernetes environments. The role shapes cloud strategy and disaster recovery planning. Bachelor’s degree and 3+ years of relevant experience required.

Qualifications

• Bachelor's degree in CS, Engineering, or related field.
• 3+ years in infrastructure engineering, DevOps, or SRE with AI/ML workloads.
• Hands-on with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).

Responsibilities

• Design, deploy, and manage scalable AI/ML infrastructure on cloud platforms.
• Develop and maintain CI/CD pipelines for infrastructure automation and AI model deployment.
• Implement monitoring, logging, and alerting systems for AI infrastructure health.
• Optimize infrastructure for cost, performance, and scalability for large AI workloads.
• Collaborate with data scientists/ML engineers to meet infra needs.
• Manage Docker and Kubernetes environments for AI applications.
• Troubleshoot production infra issues and ensure security/compliance.
• Contribute to capacity planning and disaster recovery strategies.

Skills

Python programming

Bash scripting

CI/CD

DevOps culture

SRE practices

Networking basics

Education

Bachelor's degree (CS/Engineering)

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Placements24 in Upington, Northern Cape, seeks an AI Infrastructure Engineer to design, deploy, and optimize scalable AI infrastructure across AWS, Azure, and GCP. You will enable reliable, cost-efficient AI workloads by collaborating with data scientists and ML engineers.

You will build CI/CD pipelines, implement monitoring, and manage Docker/Kubernetes environments. The role shapes cloud strategy and disaster recovery planning. Bachelor’s degree and 3+ years of relevant experience required.