AI Platform Engineer - Hybrid & Remote-Ready

Placements24; Paarl; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Hybrid work model

Health benefits

Career development

Competitive salary

Job summary

Placements24 is seeking an AI Platform Engineer to design and maintain the AI infrastructure powering innovative AI initiatives from Paarl, Western Cape. The role blends in-office collaboration with remote work, supporting data scientists and ML engineers to deploy models efficiently.

You will work on GPU clusters, containerization with Docker and Kubernetes, and automation of provisioning. A strong cloud and scripting background is essential in this hybrid role.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related technical field.
• 3-5 years of platform engineering, SRE, or DevOps experience with AI/ML infra.
• Strong experience with cloud platforms (AWS/Azure/GCP).
• Proficiency with Kubernetes and container orchestration.
• Experience with infrastructure-as-code tools (Terraform, Ansible).
• Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Strong scripting skills (Python, Bash).
• Excellent problem-solving and analytical abilities.
• Good communication and teamwork in a hybrid environment.

Responsibilities

• Design, implement, and manage scalable AI infrastructure and platforms.
• Develop tooling for data scientists and ML engineers (training environments, feature stores, deployment pipelines).
• Optimize performance for AI workloads including GPU clusters and distributed computing.
• Implement and manage Docker and Kubernetes for AI apps.
• Collaborate with IT and DevOps to ensure integration and operation of AI platforms.
• Monitor performance, troubleshoot, and ensure high availability.
• Automate infrastructure provisioning and management tasks.
• Stay current with cloud, big data, and AI infra technologies.

Job description

Placements24 is seeking an AI Platform Engineer to design and maintain the AI infrastructure powering innovative AI initiatives from Paarl, Western Cape. The role blends in-office collaboration with remote work, supporting data scientists and ML engineers to deploy models efficiently.

You will work on GPU clusters, containerization with Docker and Kubernetes, and automation of provisioning. A strong cloud and scripting background is essential in this hybrid role.