Cloud AI/ML Platform Engineer

Placements24; Upington; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary

Health coverage

Paid time off

Professional development

Upington location

Retirement plan

Exposure to latest AI tech

Job summary

Placements24 is seeking an AI/ML Platform Engineer in Upington, Northern Cape to design, build, and maintain scalable AI/ML platforms on AWS/Azure/GCP. You will collaborate with data scientists and ML engineers to streamline the AI lifecycle and deployment.

The role calls for 3+ years in software/DevOps, strong Python/Go scripting, and hands‑on cloud and container experience. Expect a dynamic, collaborative environment with opportunities for growth.

Qualifications

• 3+ years of experience in software engineering or DevOps with a focus on AI/ML platforms
• Proficiency in Python and/or Go for scripting and automation
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and their managed services
• Experience with containerization (Docker, Kubernetes) and MLOps tools (MLflow, Kubeflow, Seldon Core)
• Knowledge of infrastructure as code (Terraform, Ansible) and data pipelines/storage

Responsibilities

• Design, build, and maintain scalable AI/ML platforms on cloud environments (AWS/Azure/GCP)
• Develop and manage CI/CD pipelines for ML models
• Implement tools for data management, feature stores, model training, experimentation tracking, and deployment
• Optimize infrastructure for performance, cost, and security
• Automate operational tasks related to the AI/ML platform
• Provide support to data scientists and ML engineers on platform usage

Skills

Python

Go

Problem solving

Communication

Education

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

Tools

AWS

Azure

GCP

Docker

Kubernetes

MLflow

Kubeflow

Seldon Core

Terraform

Ansible

Job description

Placements24 is seeking an AI/ML Platform Engineer in Upington, Northern Cape to design, build, and maintain scalable AI/ML platforms on AWS/Azure/GCP. You will collaborate with data scientists and ML engineers to streamline the AI lifecycle and deployment.

The role calls for 3+ years in software/DevOps, strong Python/Go scripting, and hands‑on cloud and container experience. Expect a dynamic, collaborative environment with opportunities for growth.