AI Platform Engineer - ML Infrastructure

Placements24

Mbombela (Nelspruit)

Hybrid

ZAR 900,000 - 1,300,000

Full time

3 days ago
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Job summary

Placements24 seeks an AI Platform Engineer in Nelspruit, Mpumalanga to build and maintain scalable AI/ML infrastructure, enabling data scientists and ML engineers to deploy models efficiently.

You will design CI/CD pipelines, manage cloud resources (AWS/Azure/GCP), and implement IaC with Terraform/Ansible, while prioritizing security, performance and cost-efficiency. Hybrid work model offered in Mpumalanga.

Qualifications

  • Bachelor's degree in CS, engineering, or related technical field.
  • Minimum 4 years of software engineering/DevOps/cloud infra experience focused on AI/ML platforms.
  • Strong experience with AWS/Azure/GCP and containerization (Docker, Kubernetes).
  • Proficiency in Python and Bash scripting.
  • Experience with CI/CD tools (Jenkins, GitLab CI, CircleCI).
  • Knowledge of infrastructure-as-code (Terraform, Ansible).
  • Understanding ML concepts and workflows; monitoring/logging experience.
  • Excellent problem-solving and collaboration skills.
  • Hybrid schedule in Nelspruit, Mpumalanga.

Responsibilities

  • Design and maintain scalable AI/ML infrastructure.
  • Implement and manage ML CI/CD pipelines.
  • Develop and optimize MLOps practices including training, deployment, monitoring.
  • Manage and scale cloud infrastructure (AWS/Azure/GCP).
  • Automate provisioning with Terraform or Ansible.
  • Ensure security, performance, and cost-efficiency of the platform.
  • Collaborate with data scientists and ML engineers on needs.
  • Troubleshoot infrastructure issues.
  • Stay current with AI infra and cloud tech.
  • Contribute to best practices for AI platform engineering.

Skills

DevOps
Cloud infra
MLOps
Troubleshooting
Communication
Teamwork

Education

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

Tools

AWS
Azure
GCP
Docker
Kubernetes
Python
Bash
CI/CD
Terraform
Ansible

Job description

About the Role

Our client is seeking a skilled AI Platform Engineer to join their innovative team in Nelspruit, Mpumalanga . This role focuses on building and maintaining the robust infrastructure that powers our AI and Machine Learning initiatives. You will be responsible for the end-to-end lifecycle of our ML platforms, including development, deployment, scaling, and operational support. The ideal candidate will have a strong background in software engineering, cloud computing, and DevOps principles, with a passion for enabling data scientists and ML engineers to build and deploy models efficiently. This position offers a hybrid work arrangement, combining the benefits of collaborative in-office work with remote flexibility. You will play a vital role in ensuring our AI capabilities are scalable, reliable, and performant.

Key Responsibilities
  • Design, build, and maintain scalable and reliable infrastructure for AI/ML workloads.
  • Implement and manage CI/CD pipelines for machine learning models and platforms.
  • Develop and optimize MLOps practices, including model training, deployment, monitoring, and versioning.
  • Manage and scale cloud-based infrastructure (AWS, Azure, or GCP) for AI/ML services.
  • Automate infrastructure provisioning and management using tools like Terraform or Ansible.
  • Ensure the security, performance, and cost-efficiency of the AI platform.
  • Collaborate with data scientists and ML engineers to understand their infrastructure needs.
  • Troubleshoot and resolve infrastructure-related issues.
  • Stay current with emerging technologies in AI infrastructure and cloud computing.
  • Contribute to the development of best practices for AI platform engineering.
Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related technical field.
  • Minimum of 4 years of experience in software engineering, DevOps, or cloud infrastructure, with a focus on AI/ML platforms.
  • Strong experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
  • Proficiency in scripting languages like Python, Bash.
  • Experience with CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI).
  • Knowledge of infrastructure-as-code tools (e.g., Terraform, Ansible).
  • Understanding of machine learning concepts and workflows.
  • Experience with monitoring and logging tools.
  • Excellent problem-solving and troubleshooting skills.
  • Strong communication and teamwork abilities.
  • Must be able to work a hybrid schedule in Nelspruit, Mpumalanga .
Benefits

Our client offers a competitive salary, performance bonuses, and a comprehensive benefits package, including health insurance and retirement planning. The hybrid work model in Nelspruit, Mpumalanga provides flexibility and work-life balance. We invest in our employees' growth through professional development opportunities, including training and conference attendance. Join a forward-thinking company and contribute to building the foundational infrastructure for cutting-edge AI solutions.

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