Senior AI Platform Architect — Cloud & MLOps

Placements24; Stellenbosch; Hybrid; ZAR 1.200.000 - 1.800.000; Vollzeit

Benefits dieser Stelle

Health insurance

Pension scheme

Stock options or equity participation

Generous vacation leave

Continuous learning opportunities

State-of-the-art infrastructure

Zusammenfassung

Placements24 in Stellenbosch, Western Cape, seeks a Senior AI Platform Engineer to design, build, and maintain scalable AI/ML infrastructure for cutting-edge AI initiatives.

The role focuses on cloud platforms (AWS/Azure/GCP), containerization (Docker, Kubernetes), and IaC (Terraform/Ansible) to empower data scientists and ML engineers. Collaboration across teams is essential for robust, secure, and efficient platforms.

Qualifikationen

• Bachelor's degree in Computer Science, Engineering, or related technical field.
• Minimum of 6 years of experience in platform engineering, DevOps, or SRE.
• Proven experience building and managing large-scale cloud infrastructure (AWS, Azure, or GCP).

Aufgaben

• Design, build, and operate scalable AI/ML platforms and infrastructure.
• Develop and manage CI/CD pipelines for AI/ML workflows.
• Implement and maintain containerization and orchestration (Docker, Kubernetes).
• Automate infrastructure provisioning and configuration management (Terraform, Ansible).
• Collaborate with data scientists and ML engineers to understand platform needs.
• Monitor platform performance, identify bottlenecks, and optimize."
• Ensure security and compliance of the AI platform.
• Manage cloud resources on AWS, Azure, or GCP.
• Contribute to architectural roadmap and technology selection.
• Provide guidance and support to engineering teams using the platform.

Kenntnisse

Cloud infrastructure

Container orchestration

Automation

Ausbildung

Bachelors degree in CS/Engineering or related field

Tools

Docker

Kubernetes

Terraform

Ansible

CI/CD

Jobbeschreibung

Placements24 in Stellenbosch, Western Cape, seeks a Senior AI Platform Engineer to design, build, and maintain scalable AI/ML infrastructure for cutting-edge AI initiatives.

The role focuses on cloud platforms (AWS/Azure/GCP), containerization (Docker, Kubernetes), and IaC (Terraform/Ansible) to empower data scientists and ML engineers. Collaboration across teams is essential for robust, secure, and efficient platforms.