AI Infrastructure Engineer

Placements24; LegKraal Gate; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Performance bonuses

Fully remote

Health insurance

Professional development budget

Opportunities to work with leading AI

Job summary

Placements24 is seeking a skilled AI Infrastructure Engineer to join a fully remote team. You will design, build, and maintain scalable infrastructure to support AI/ML training, deployment, and experimentation in a remote-first environment.

Responsibilities include cloud design on AWS/Azure/GCP, constructing CI/CD pipelines for ML models, and optimizing performance, reliability, and costs. Proficiency in Terraform and Python/Bash is essential to collaborate with data scientists and engineers.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of infrastructure engineering experience with cloud platforms.
• Experience with MLOps tools (Kubeflow, MLflow, Docker, Kubernetes).
• Infrastructure as Code (Terraform, CloudFormation) and scripting (Python, Bash).
• Strong problem-solving and ability to work in a remote distributed team.

Responsibilities

• Design, implement, and manage scalable cloud infrastructure for AI/ML workloads.
• Develop and maintain robust CI/CD pipelines for ML models and infra.
• Optimize infrastructure for performance, cost-efficiency, reliability.
• Implement monitoring, logging, and alerting for AI infra.
• Collaborate with AI/ML engineers and data scientists to understand needs and provide support.

Skills

Infra engineering

Cloud platforms

Remote collaboration

Problem solving

Education

Bachelor's degree in CS/Engineering

Tools

Kubeflow

MLflow

Docker

Kubernetes

Terraform

CloudFormation

Python

Bash

Job description

About the Role

Our client is looking for a skilled and proactive AI Infrastructure Engineer to join their fully remote team. In this critical role, you will design, build, and maintain the scalable, high-performance infrastructure required to support our advanced AI and machine learning operations. You will work with cutting-edge technologies to ensure our data scientists and engineers have the robust platforms they need for training, deployment, and experimentation. The ideal candidate thrives in a remote-first environment, possesses deep expertise in cloud infrastructure and MLOps, and is passionate about enabling the future of AI development. This is a fantastic opportunity to make a significant impact on our AI capabilities.

Key Responsibilities

• Design, implement, and manage scalable cloud infrastructure (AWS, Azure, GCP) for AI/ML workloads.
• Develop and maintain robust CI/CD pipelines for machine learning models and infrastructure.
• Optimize infrastructure for performance, cost-efficiency, and reliability of AI training and inference.
• Implement monitoring, logging, and alerting solutions for AI infrastructure and services.
• Collaborate with AI/ML engineers and data scientists to understand their infrastructure needs and provide support.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in infrastructure engineering, with a strong focus on cloud platforms.
• Proven experience with MLOps tools and practices (e.g., Kubeflow, MLflow, Docker, Kubernetes).
• Strong skills in infrastructure-as-code (e.g., Terraform, CloudFormation) and scripting (Python, Bash).
• Excellent problem-solving skills and the ability to work effectively in a remote, distributed team.

Benefits

• Competitive annual salary with performance-based bonuses.
• Fully remote work arrangement offering excellent flexibility.
• Comprehensive health, dental, and vision insurance.
• Professional development budget for training and certifications.
• Opportunity to work with a leading AI team on impactful projects.