AI Infrastructure Engineer

Placements24; Soweto; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work model

Professional certifications

Competitive salary and incentives

Healthcare benefits

Retirement benefits

Team environment

Job summary

Placements24 is seeking a proactive AI Infrastructure Engineer in Soweto to design, build and maintain scalable AI/ML infrastructure. You will optimize compute resources, manage data storage, and support AI development and deployment pipelines in a hybrid work setting.

The role requires strong DevOps experience, cloud platforms (AWS/Azure/GCP), and IaC tools (Terraform/Ansible). You will collaborate with AI researchers to meet infrastructure needs while ensuring security and compliance across

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• Proven experience in infrastructure engineering, DevOps, or Site Reliability Engineering.
• Experience with cloud platforms (AWS, Azure, GCP) and IaC tools (Terraform, Ansible).
• Familiarity with containerization (Docker, Kubernetes) and orchestration.

Responsibilities

• Design, build, and maintain scalable and reliable infrastructure for AI/ML workloads.
• Optimize hardware and software configurations for performance and efficiency in AI training and inference.
• Manage and automate deployment, monitoring, and maintenance of AI development environments.
• Implement and manage data storage solutions and data pipelines supporting AI projects.
• Collaborate with AI researchers and engineers to understand their infrastructure needs.
• Ensure the security and compliance of AI infrastructure.

Skills

DevOps

Terraform

Ansible

Docker

Kubernetes

Python

Education

Bachelor's degree in Computer Science/Engineering

Tools

AWS

Azure

GCP

Terraform

Ansible

Docker

Kubernetes

Job description

About the Role

Our client is seeking a proactive AI Infrastructure Engineer to enhance their advanced technology capabilities in Soweto . This role is vital for building and maintaining the robust infrastructure required to support large-scale AI and machine learning operations. You will work on optimizing computing resources, managing data storage solutions, and ensuring the smooth operation of AI development and deployment pipelines. This position offers a fantastic opportunity to work with cutting-edge technology and contribute to critical AI initiatives within the Gauteng region, within a hybrid work model that fosters both collaboration and individual productivity.

Key Responsibilities

• Design, build, and maintain scalable and reliable infrastructure for AI/ML workloads.
• Optimize hardware and software configurations for performance and efficiency in AI training and inference.
• Manage and automate deployment, monitoring, and maintenance of AI development environments.
• Implement and manage data storage solutions and data pipelines supporting AI projects.
• Collaborate with AI researchers and engineers to understand their infrastructure needs.
• Ensure the security and compliance of AI infrastructure.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience in infrastructure engineering, DevOps, or Site Reliability Engineering.
• Experience with cloud platforms (AWS, Azure, GCP) and infrastructure-as-code tools (e.g., Terraform, Ansible).
• Familiarity with containerization technologies (Docker, Kubernetes) and orchestration.
• Understanding of AI/ML concepts and the infrastructure they require.
• Strong scripting skills (e.g., Python, Bash).

Benefits

• Competitive salary and performance-based incentives.
• Comprehensive medical and retirement benefits.
• Opportunities for continuous learning and professional certifications.
• A hybrid work model offering flexibility and work-life balance.
• Engaging work with advanced AI technologies in Soweto .
• A collaborative and innovative team environment.