Senior AI Infrastructure Engineer

Placements24; Polokwane; Híbrido; ZAR 1 200 000 - 2 000 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work model

Health benefits

Professional development opportunities

Resumo da oferta

Placements24 is seeking a Senior AI Infrastructure Engineer to design, build and scale robust AI development and production platforms in Polokwane. The role blends on-site collaboration with flexible remote work to support the full AI lifecycle.

You will work with data scientists, ML engineers, and software teams to ensure reliable, scalable infrastructure, efficient MLOps pipelines, and cost-aware operations across GPU clusters and cloud services.

Qualificações

• 5+ years in infrastructure engineering with AI/ML workloads.
• Experience with cloud AI/ML services (AWS/Azure/GCP).
• Strong Kubernetes expertise.
• Proficient in Python or Bash scripting.
• IaC experience with Terraform/Ansible.

Responsabilidades

• Design, implement, and manage scalable AI infrastructure.
• Develop and maintain MLOps pipelines for training, deployment, and monitoring.
• Optimize performance for AI workloads including GPU clusters.
• Manage containerization with Docker and Kubernetes for AI apps.
• Ensure security and compliance of AI infra and data.
• Collaborate with data scientists and engineers to plan infra needs.
• Automate provisioning with IaC tools.

Conhecimentos

Python

Bash

Kubernetes

Cloud platforms

IaC

Networking

Storage

Security

MLOps

GPU acceleration

Formação académica

Bachelor's degree in Computer Science or Engineering

Master's degree preferred

Ferramentas

Terraform

Ansible

Docker

Kubernetes

Descrição da oferta de emprego

About the Role

Our client, a leading innovator in AI & Emerging Technologies, is seeking a highly skilled Senior AI Infrastructure Engineer to enhance and scale their AI development and deployment platforms. Based in Polokwane, Limpopo , this role is crucial for ensuring the reliability, performance, and scalability of our AI infrastructure. You will work closely with data scientists, ML engineers, and software developers to build and maintain robust systems that support the entire AI lifecycle, from experimentation to production. This position follows a hybrid work model, combining essential on-site collaboration at our Polokwane facilities with remote flexibility, allowing for optimal productivity and work-life integration. You will be instrumental in enabling the next generation of AI advancements.

Key Responsibilities

• Design, implement, and manage scalable and reliable AI infrastructure, including compute, storage, and networking.
• Develop and maintain MLOps pipelines for automated model training, deployment, and monitoring.
• Optimize infrastructure performance for AI workloads, including GPU clusters and distributed computing environments.
• Implement and manage containerization technologies (e.g., Docker, Kubernetes) for AI applications.
• Ensure the security and compliance of AI infrastructure and data.
• Collaborate with data science and engineering teams to understand their infrastructure needs.
• Automate infrastructure provisioning and management using IaC tools (e.g., Terraform, Ansible).
• Troubleshoot and resolve infrastructure-related issues impacting AI development and operations.
• Stay current with emerging trends in cloud computing, AI infrastructure, and MLOps.
• Contribute to capacity planning and cost optimization efforts for AI resources.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree is a plus.
• 5+ years of experience in infrastructure engineering, with a significant focus on supporting AI/ML workloads.
• Proven experience with cloud platforms (AWS, Azure, or GCP) and their AI/ML services.
• Strong expertise in container orchestration platforms like Kubernetes.
• Proficiency in scripting languages such as Python, Bash.
• Experience with Infrastructure as Code (IaC) tools.
• Solid understanding of networking, storage, and security principles.
• Familiarity with MLOps concepts and tools is highly desirable.
• Experience supporting GPU-accelerated computing is a strong advantage.
• Excellent problem-solving, communication, and collaboration skills.
• Ability to thrive in a hybrid work environment.

Benefits

Our client offers a competitive salary, comprehensive health and wellness benefits, and opportunities for continuous learning and career advancement. This role provides a unique opportunity to work on cutting-edge AI infrastructure in Polokwane , contributing to significant technological advancements. The hybrid work model supports a healthy work-life balance. Join a dynamic team dedicated to building the foundational systems that power artificial intelligence. We offer a collaborative culture and the chance to make a real impact.