AI Infrastructure Engineer

Placements24; Stellenbosch; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary

Hybrid work arrangement

Professional development opportunities

Advanced training

Collaborative team environment

Impactful AI infrastructure

Job summary

Placements24 in Stellenbosch seeks an AI Infrastructure Engineer to design, build, and optimize scalable AI/ML infrastructure across cloud platforms. You will implement CI/CD pipelines for AI models and infrastructure deployment, while optimizing compute and storage for large datasets and model training.

The role requires strong containerization with Docker/Kubernetes, scripting in Python or Bash, and familiarity with MLOps and IaC tools such as Terraform and Ansible.

Qualifications

• Bachelor's degree in a technical field.
• 3+ years of experience in infrastructure engineering.
• Strong experience with containerization (Docker, Kubernetes).
• Scripting proficiency (Python, Bash).
• Familiarity with MLOps principles and tools.
• Experience with infrastructure as code (Terraform, Ansible).

Responsibilities

• Design, implement, and manage scalable AI/ML infrastructure on cloud platforms.
• Develop and maintain CI/CD pipelines for AI models and infrastructure deployment.
• Optimize compute and storage resources for large-scale data processing and model training.
• Implement monitoring, logging, and alerting for AI infrastructure components.
• Troubleshoot infrastructure issues affecting AI development and deployment.
• Collaborate with ML engineers and data scientists to understand infrastructure needs.

Skills

Python

Bash

CI/CD

MLOps

Education

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

Tools

Docker

Kubernetes

Terraform

Ansible

Job description

About the Role

Our client is seeking a skilled AI Infrastructure Engineer to join their growing technology team in Stellenbosch. This role is crucial for building, maintaining, and optimizing the robust infrastructure required to support the development and deployment of artificial intelligence and machine learning systems. You will work with cutting-edge technologies in cloud computing, distributed systems, and high-performance computing to ensure our AI platforms are scalable, reliable, and efficient. This is an excellent opportunity for an infrastructure expert passionate about enabling advanced AI research and development within a dynamic, hybrid work environment that values innovation and technical expertise.

Key Responsibilities

• Design, implement, and manage scalable infrastructure for AI/ML workloads on cloud platforms (e.g., AWS, Azure, GCP).
• Develop and maintain CI/CD pipelines for AI models and infrastructure deployment.
• Optimize compute and storage resources for large-scale data processing and model training.
• Implement monitoring, logging, and alerting systems for AI infrastructure components.
• Troubleshoot and resolve infrastructure-related issues affecting AI development and deployment.
• Collaborate with ML engineers and data scientists to understand infrastructure needs and provide solutions.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in infrastructure engineering, with a focus on cloud environments.
• Strong experience with containerization technologies (Docker, Kubernetes).
• Proficiency in scripting languages (e.g., Python, Bash) for automation.
• Familiarity with MLOps principles and tools for AI infrastructure management.
• Experience with infrastructure as code (e.g., Terraform, Ansible).

Benefits

• Competitive salary and comprehensive benefits package.
• Hybrid work arrangement for a balanced work-life integration.
• Professional development opportunities and access to advanced training.
• Collaborative team environment focused on technological advancement.
• Contribute to the critical infrastructure supporting groundbreaking AI initiatives.