Remote AI Cloud Engineer - Scalable ML Infrastructure

Placements24; Benoni; Hybrid; ZAR 800,000 - 1,200,000; Full time

Benefits offered by this job

Medical aid

Pension fund

Continuous learning & certifications

Remote-first environment

Job summary

Placements24 is recruiting an AI Cloud Solutions Engineer to design, deploy and manage scalable AI/ML workloads in a fully remote role across South Africa. You will optimize cloud infrastructure, build CI/CD for ML models, and collaborate with data science and software teams to ensure performance and reliability.

The ideal candidate has 3+ years in cloud engineering (AWS/Azure/GCP), strong AI/ML concepts, containerization with Docker/Kubernetes, and hands-on IaC with Terraform or CloudFormation.

Qualifications

• Bachelor's degree in CS, Engineering, or related field.
• 3+ years in cloud engineering with AWS/Azure/GCP.
• Experience with containers: Docker, Kubernetes.
• Strong understanding of AI/ML concepts and workflows.
• Experience with MLOps tools (MLflow, Kubeflow, CI/CD tools).
• Proficiency in Python or Bash.
• Knowledge of IaC (Terraform, CloudFormation).
• Understanding of networking and security in cloud environments.

Responsibilities

• Design, deploy, and manage cloud infra for AI/ML workloads.
• Implement CI/CD for ML model deployment (MLOps).
• Optimize cloud resources for cost and performance.
• Develop automation scripts for infra management and deployment.
• Ensure security, scalability, and reliability of AI platforms.
• Collaborate with data science and engineering teams.
• Troubleshoot cloud infra and AI services.
• Stay current with cloud AI trends and best practices.
• Document infrastructure configurations and processes.

Skills

Cloud architecture

DevOps practices

Remote collaboration

AI/ML concepts

Education

Bachelor's degree in CS/Engineering

Tools

Docker

Kubernetes

MLflow

Kubeflow

Terraform

CloudFormation

CI/CD tooling

Job description

Placements24 is recruiting an AI Cloud Solutions Engineer to design, deploy and manage scalable AI/ML workloads in a fully remote role across South Africa. You will optimize cloud infrastructure, build CI/CD for ML models, and collaborate with data science and software teams to ensure performance and reliability.

The ideal candidate has 3+ years in cloud engineering (AWS/Azure/GCP), strong AI/ML concepts, containerization with Docker/Kubernetes, and hands-on IaC with Terraform or CloudFormation.