AI Platform Engineer

Placements24; Upington; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary

Hybrid work model

Cutting-edge AI tech

Professional development

Innovative environment

Job summary

Placements24 is seeking an AI Platform Engineer to design, implement, and scale AI/ML infrastructure across cloud environments. You will work on scalable platforms, data pipelines, and MLOps workflows to enable data scientists and engineers to train and deploy models efficiently.

The role requires 3+ years in software engineering or DevOps with a focus on AI/ML infrastructure, strong scripting skills, and expertise with AWS/Azure/GCP, Docker and Kubernetes. A hybrid work model is offered in SA.

Qualifications

• Bachelor's degree in CS, Engineering or related field.
• 3+ years in software engineering or DevOps with a focus on AI/ML infra.
• Experience with AWS, Azure or GCP and Docker/Kubernetes.
• Proficiency in Python or Bash and familiarity with IaC tools.
• Understanding of data science and ML workflows.

Responsibilities

• Design, build, and maintain scalable AI/ML infrastructure and platforms.
• Develop and manage CI/CD pipelines for AI model deployment (MLOps).
• Implement and optimize data pipelines for AI workloads, ensuring data quality.
• Provide engineering support for data scientists and ML engineers, troubleshooting platform issues.
• Automate infrastructure provisioning, configuration, and management.
• Ensure security, reliability, and performance of the AI platform.

Skills

AI/ML infrastructure

Scripting

CI/CD

Data science workflows

Education

Bachelor's degree in CS/Engineering or related field

Tools

AWS

Azure

GCP

Docker

Kubernetes

Infrastructure-as-code (IaC)

MLOps tools

Job description

About the Role

Our client is looking for a skilled AI Platform Engineer to join their growing team in Mahikeng . This role is essential for building and maintaining the robust infrastructure that supports AI and machine learning development and deployment. You will work on designing, implementing, and scaling the platforms, tools, and workflows that enable data scientists and engineers to efficiently develop, train, and deploy AI models. This position offers the chance to work with state-of-the-art technologies and contribute to a scalable, reliable, and efficient AI ecosystem within the organization.

Key Responsibilities

• Design, build, and maintain scalable AI/ML infrastructure and platforms.
• Develop and manage CI/CD pipelines for AI model deployment and management (MLOps).
• Implement and optimize data pipelines for AI workloads, ensuring data quality and accessibility.
• Provide engineering support for data scientists and ML engineers, troubleshooting platform issues.
• Automate infrastructure provisioning, configuration, and management.
• Ensure the security, reliability, and performance of the AI platform.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in software engineering or DevOps, with a focus on AI/ML infrastructure.
• Proficiency with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Experience with MLOps tools and practices for model lifecycle management.
• Strong scripting skills (e.g., Python, Bash) and familiarity with infrastructure-as-code tools.
• Understanding of data science and machine learning workflows.

Benefits

• Competitive salary and comprehensive benefits package.
• Hybrid work model offering flexibility and in-office collaboration.
• Opportunity to work with cutting-edge AI technologies and infrastructure.
• Professional development support and training programs.
• A dynamic environment focused on innovation and technological excellence.