AI Infrastructure Engineer

Placements24; Siyancuma Local Municipality; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Fully remote

Advanced AI infra

Professional development

Comprehensive benefits

Supportive culture

Job summary

Placements24 is seeking an AI Infrastructure Engineer to join our remote team building scalable cloud infrastructure for AI workloads. You will design, deploy, and manage AI/ML compute, storage, and networking, and optimize for performance and cost-efficiency.

You will implement CI/CD pipelines for AI deployment, monitor systems, and collaborate with AI researchers to translate infra needs into reliable solutions, all in a fully remote environment.

Qualifications

• Bachelor's degree in Computer Science, Engineering or related field.
• Experience managing cloud infra (AWS, Azure, GCP).
• Strong containerization knowledge (Docker, Kubernetes).
• Experience with IaC tools (Terraform, Ansible).
• Familiarity with AI/ML frameworks desirable.

Responsibilities

• Design, deploy, and manage scalable cloud infrastructure for AI/ML workloads.
• Optimize for performance, cost-efficiency, and reliability.
• Implement and maintain CI/CD pipelines for AI deployment.
• Monitor performance, troubleshoot, ensure high availability.
• Collaborate with AI researchers to understand infra needs.

Skills

Cloud infra design

CI/CD pipelines

AI/ML awareness

Education

Bachelor's degree in Computer Science or Engineering

Tools

Docker

Kubernetes

Terraform

Ansible

Job description

About the Role

Our client is seeking a skilled AI Infrastructure Engineer to join their dynamic team, offering a fully remote work arrangement. This role is critical for designing, building, and maintaining the scalable and robust infrastructure required to support advanced AI and Emerging Technologies development and deployment. You will work on cutting-edge cloud environments, optimizing performance and reliability for AI workloads. This is an exciting opportunity for an experienced engineer to contribute significantly to the company's AI capabilities, working from anywhere with a passionate and collaborative remote team that is dedicated to building the future of AI, fostering a culture of technical excellence and continuous improvement.

Key Responsibilities

• Design, deploy, and manage scalable cloud infrastructure for AI/ML workloads (e.g., compute, storage, networking).


• Optimize infrastructure for performance, cost-efficiency, and reliability for AI training and inference.


• Implement and maintain CI/CD pipelines for AI model deployment and MLOps practices.


• Monitor system performance, troubleshoot issues, and ensure high availability of AI services.


• Collaborate with AI researchers and engineers to understand their infrastructure needs.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.


• Proven experience in cloud infrastructure management (AWS, Azure, GCP).


• Strong understanding of containerization technologies (Docker, Kubernetes).


• Experience with infrastructure-as-code tools (Terraform, Ansible).


• Familiarity with AI/ML frameworks and workflows is highly desirable.

Benefits

• Competitive salary and fully remote work flexibility.


• Opportunity to work with advanced AI infrastructure and technologies.


• Contribute to high-impact AI projects from anywhere.


• Comprehensive benefits package and professional development opportunities.


• A supportive and innovative remote work culture.