Remote AI Platform Engineer (MLOps) — Scale ML Infra

Placements24; Soweto; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Fully remote work

Growth opportunities

Paid time off

Retirement plan

Home office stipend

Learning & development

Job summary

Placements24 is seeking a highly skilled AI Platform Engineer specializing in MLOps to join a distributed team. The role is fully remote and focuses on building, deploying, and maintaining the infrastructure and tools that support the AI/ML lifecycle.

You will automate model training, deployment, monitoring, and management to ensure scalable, reliable, and cost-efficient pipelines. You will collaborate with data scientists and ML engineers, apply IaC practices, and stay ahead with the latest

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• Proven experience in software engineering, DevOps, or MLOps focusing on AI/ML platforms.
• Strong proficiency in Python and cloud platforms (AWS, Azure, GCP).
• Experience with Docker and Kubernetes.
• Familiarity with CI/CD tools and IaC (Terraform/Ansible).

Responsibilities

• Design, build, and maintain CI/CD pipelines for ML models.
• Develop scalable infrastructure for model training and inference on cloud platforms.
• Implement tools for model monitoring, logging, and performance tracking.
• Automate model deployment, versioning, and rollback processes.
• Collaborate with data scientists and ML engineers to support platform needs.
• Ensure security, reliability, and cost-efficiency of the AI platform.
• Manage container orchestration (Kubernetes) for ML workloads.
• Develop infrastructure as code for the AI platform.
• Stay current with emerging MLOps tools and best practices.
• Troubleshoot AI platform and ML deployment issues.

Skills

Python

MLOps

CI/CD

Cloud platforms

Education

Bachelor's or Master's in CS/Engineering

Tools

Docker

Kubernetes

Terraform

Ansible

Jenkins/GitHub Actions/GitLab CI

Job description

Placements24 is seeking a highly skilled AI Platform Engineer specializing in MLOps to join a distributed team. The role is fully remote and focuses on building, deploying, and maintaining the infrastructure and tools that support the AI/ML lifecycle.

You will automate model training, deployment, monitoring, and management to ensure scalable, reliable, and cost-efficient pipelines. You will collaborate with data scientists and ML engineers, apply IaC practices, and stay ahead with the latest