AI Infrastructure Engineer

Placements24; Polokwane; Hybrid; ZAR 1,597,000 - 2,235,000; Full time

Benefits offered by this job

Competitive salary

Fully remote work

Home office allowance

Professional development

Collaborative team culture

Job summary

Placements24 is hiring an AI Infrastructure Engineer for a fully remote team. You will design and optimize scalable AI/ML infrastructure, enable model training and deployment, and implement MLOps practices for the full lifecycle. The role requires 4+ years in DevOps/SRE, strong scripting and IaC skills, and experience with containers and cloud platforms.

The position offers a competitive salary, full remote flexibility, and opportunities to work with cutting-edge AI technologies.

Qualifications

• Bachelor's degree in CS, Engineering or related field.
• 4+ years in infrastructure engineering, DevOps or SRE.
• Experience with cloud providers (AWS/Azure/GCP) and/or on-premise clusters.
• Familiarity with AI/ML infra needs for training and deployment.
• Proficiency in Python and IaC tools like Terraform/Ansible.
• Experience with containers (Docker, Kubernetes).

Responsibilities

• Design, deploy, and manage scalable AI/ML infrastructure.
• Implement MLOps practices for the AI lifecycle.
• Optimize performance for training/inference workloads.
• Develop automation for provisioning, config, and monitoring.
• Collaborate with AI researchers to meet infra needs.
• Ensure security, stability, and cost-effectiveness of infra.

Skills

Cloud infrastructure

SRE/DevOps

Python scripting

Terraform/Ansible

Docker/Kubernetes

Education

Bachelor's degree in CS/Engineering

Tools

Terraform

Ansible

Docker

Kubernetes

Job description

About the Role

Our client is seeking a skilled AI Infrastructure Engineer to join their cutting-edge, fully remote team. This role is critical for building and maintaining the robust, scalable infrastructure required to support our client's advanced AI and machine learning initiatives. You will be responsible for designing, implementing, and optimizing the hardware and software environments that enable efficient AI model training and deployment. This position is perfect for an experienced infrastructure professional with a passion for AI and a desire to work in a flexible, remote-first setting, contributing to the technological backbone of groundbreaking AI projects.

Key Responsibilities

• Design, deploy, and manage scalable and reliable infrastructure for AI/ML workloads, including compute clusters, storage, and networking.
• Implement and maintain MLOps tools and practices to streamline the AI development lifecycle, from experimentation to production.
• Optimize infrastructure performance for AI model training and inference, ensuring efficient resource utilization.
• Develop automation scripts and tools for infrastructure provisioning, configuration management, and monitoring.
• Collaborate with AI researchers and engineers to understand their infrastructure needs and provide effective solutions.
• Ensure the security, stability, and cost-effectiveness of the AI infrastructure.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 4+ years of experience in infrastructure engineering, DevOps, or site reliability engineering (SRE).
• Proven experience managing cloud infrastructure (AWS, Azure, GCP) and/or on-premises compute clusters.
• Familiarity with AI/ML concepts and the specific infrastructure requirements for training and deploying models.
• Proficiency in scripting languages (e.g., Python, Bash) and infrastructure-as-code tools (e.g., Terraform, Ansible).
• Experience with containerization technologies (Docker, Kubernetes).

Benefits

• Competitive salary and comprehensive benefits package.
• Fully remote work arrangement, offering maximum flexibility.
• Opportunities to work with leading-edge AI technologies and infrastructure.
• Generous allowance for home office setup and professional development.
• Collaborative and innovative team culture focused on cutting-edge advancements.