AI Platform Engineer: Scale ML Pipelines in the Cloud

Placements24; Vrystaat; On-site; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Health insurance

Learning opportunities

Team collaboration

Upington tech hub

Modern tools

Job summary

Placements24 is seeking an AI Platform Engineer to join its tech division in Upington. You will design, build and scale the core AI/ML infrastructure, enabling data science and model deployment at scale.

You will work with cloud platforms (AWS/Azure/GCP), containers (Docker/Kubernetes), and MLOps practices to improve reliability, performance and cost efficiency. A collaborative, fast-moving environment awaits.

Qualifications

• Bachelor's degree in Computer Science, Engineering or related field.
• 3+ years in software engineering or DevOps focusing on AI/ML platforms.
• Experience with AWS/Azure/GCP and containerization (Docker, Kubernetes).

Responsibilities

• Design, implement, and manage scalable cloud-based infrastructure for AI/ML applications.
• Develop and maintain robust data pipelines for AI model training and inference.
• Implement and manage MLOps practices for efficient model lifecycle management.
• Optimize platform performance, reliability, and cost-effectiveness.
• Provide support and guidance to data scientists and ML engineers on platform usage.
• Automate infrastructure deployment and management tasks using infrastructure-as-code principles.

Skills

Cloud platforms

Docker

Kubernetes

Python

CI/CD

Education

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

Tools

Docker

Kubernetes

Terraform

CI/CD pipelines

Job description

Placements24 is seeking an AI Platform Engineer to join its tech division in Upington. You will design, build and scale the core AI/ML infrastructure, enabling data science and model deployment at scale.

You will work with cloud platforms (AWS/Azure/GCP), containers (Docker/Kubernetes), and MLOps practices to improve reliability, performance and cost efficiency. A collaborative, fast-moving environment awaits.