Remote AI Platform Engineer - Scale ML Infra & MLOps

Placements24; Polokwane; Hybrid; ZAR 900,000 - 1,400,000; Full time

Benefits offered by this job

Fully remote work arrangement

Competitive salary and bonuses

Health insurance and wellness programs

Professional development budget

Job summary

Placements24 seeks a highly skilled Remote AI Platform Engineer to build and maintain scalable ML infrastructure powering cutting-edge AI initiatives. You will focus on robust MLOps pipelines, cloud resource management, and performance optimization for large workloads.

You will collaborate with data scientists and engineers to design reliable systems, automate operations, and deliver secure, scalable platforms in a fully remote arrangement.

Qualifications

• Bachelor's degree in Computer Science, Engineering or related field.
• 4+ years in software engineering or DevOps with focus on AI/ML infrastructure.
• Strong Python skills and hands-on cloud experience with AWS/Azure/GCP.
• Experience with Docker, Kubernetes and MLOps practices.

Responsibilities

• Design, build, and maintain scalable AI/ML platforms and infrastructure.
• Develop and manage CI/CD pipelines for machine learning models (MLOps).
• Implement and manage containerization technologies for AI workloads.
• Monitor platform performance, troubleshoot issues, and ensure reliability.
• Collaborate with data scientists and engineers to understand infrastructure needs.
• Automate operational tasks and improve efficiency through tooling.

Skills

Python

Cloud platforms

CI/CD

MLOps

Education

Bachelor's degree in Computer Science or Engineering

Tools

Docker

Kubernetes

AWS

Azure / GCP

CI/CD tooling

Job description

Placements24 seeks a highly skilled Remote AI Platform Engineer to build and maintain scalable ML infrastructure powering cutting-edge AI initiatives. You will focus on robust MLOps pipelines, cloud resource management, and performance optimization for large workloads.

You will collaborate with data scientists and engineers to design reliable systems, automate operations, and deliver secure, scalable platforms in a fully remote arrangement.