AI/ML Infrastructure Engineer

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 900.000 - 1.300.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Health benefits

Generous vacation and paid time off

Professional development opportunities

Access to cutting-edge technology

Dynamic collaborative environment

Opportunity to scale AI infrastructure

Career growth

Zusammenfassung

WhatJobs Direct in Nelspruit is seeking an experienced AI/ML Infrastructure Engineer to design, build, and maintain scalable infrastructure for large-scale AI workloads. You will ensure performance, availability, and security across development and production environments.

The role requires strong cloud experience (AWS/Azure/GCP), containerization (Docker, Kubernetes), and CI/CD expertise. Collaboration with data scientists and ML engineers is essential to optimize data pipelines and ML

Qualifikationen

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 4+ years of experience in infrastructure engineering, with at least 2 years focused on AI/ML infrastructure.
• Proven experience with major cloud platforms (AWS, Azure, GCP) and their services.
• Strong expertise in containerization (Docker) and orchestration (Kubernetes).
• Experience with CI/CD tools and practices (e.g., Jenkins, GitLab CI, Argo CD).
• Proficiency in scripting languages like Python, Bash.
• Understanding of networking, storage, and security principles in a cloud environment.
• Familiarity with infrastructure as code tools (e.g., Terraform, Ansible).
• Experience supporting MLOps workflows and tools is highly desirable.
• Excellent problem-solving and analytical skills.

Aufgaben

• Design, deploy, and manage scalable cloud infrastructure for AI/ML workloads (e.g., AWS, Azure, GCP).
• Implement and maintain distributed computing systems and containerization technologies (Docker, Kubernetes).
• Optimize infrastructure for performance, cost-efficiency, and reliability for AI/ML tasks.
• Develop and manage CI/CD pipelines for deploying ML models and infrastructure updates.
• Ensure the security and compliance of the AI/ML infrastructure.
• Monitor system performance, troubleshoot issues, and implement solutions proactively.
• Collaborate with data scientists and ML engineers to understand their infrastructure needs.
• Manage storage solutions and data pipelines for large-scale AI/ML datasets.
• Automate infrastructure management and deployment tasks using scripting and configuration management tools.
• Stay current with emerging technologies and best practices in cloud infrastructure and MLOps.

Kenntnisse

Python

Bash

Problem-solving

Networking basics

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

Terraform

Ansible

Jenkins

GitLab CI

Argo CD

AWS

Azure

GCP

Jobbeschreibung

About the Role

WhatJobs Direct is seeking an experienced AI/ML Infrastructure Engineer to join their advanced technology team in Nelspruit . This critical role involves designing, building, and maintaining the scalable and robust infrastructure required to support large-scale AI and Machine Learning workloads. You will be responsible for ensuring the optimal performance, availability, and security of our AI development and production environments. The ideal candidate has a strong background in cloud computing, distributed systems, and experience with the specific hardware and software needs of AI/ML teams. Join us in the AI & Emerging Technologies sector and empower our AI innovation.

Key Responsibilities

• Design, deploy, and manage scalable cloud infrastructure for AI/ML workloads (e.g., AWS, Azure, GCP).


• Implement and maintain distributed computing systems and containerization technologies (e.g., Kubernetes, Docker).


• Optimize infrastructure for performance, cost-efficiency, and reliability for AI/ML tasks (training, inference).


• Develop and manage CI/CD pipelines for deploying ML models and infrastructure updates.


• Ensure the security and compliance of the AI/ML infrastructure.


• Monitor system performance, troubleshoot issues, and implement solutions proactively.


• Collaborate with data scientists and ML engineers to understand their infrastructure needs.


• Manage storage solutions and data pipelines for large-scale AI/ML datasets.


• Automate infrastructure management and deployment tasks using scripting and configuration management tools.


• Stay current with emerging technologies and best practices in cloud infrastructure and MLOps.

Requirements

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


• 4+ years of experience in infrastructure engineering, with at least 2 years focused on AI/ML infrastructure.


• Proven experience with major cloud platforms (AWS, Azure, GCP) and their services.


• Strong expertise in containerization (Docker) and orchestration (Kubernetes).


• Experience with CI/CD tools and practices (e.g., Jenkins, GitLab CI, Argo CD).


• Proficiency in scripting languages like Python, Bash.


• Understanding of networking, storage, and security principles in a cloud environment.


• Familiarity with infrastructure as code tools (e.g., Terraform, Ansible).


• Experience supporting MLOps workflows and tools is highly desirable.


• Excellent problem-solving and analytical skills.

Benefits

• Competitive salary and performance-based rewards.


• Comprehensive health, dental, and vision benefits.


• Generous vacation and paid time off.


• Professional development opportunities and training budgets.


• Access to cutting-edge technology and infrastructure.


• A dynamic and collaborative work environment.


• Opportunity to build and scale infrastructure for groundbreaking AI projects.


• Career growth within a leading AI & Emerging Technologies company.