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

About the Role

Our client, a dynamic technology firm, is seeking a skilled AI/ML Platform Engineer to join their innovative team in Upington, Northern Cape . This role is essential for building, maintaining, and scaling the infrastructure that supports our artificial intelligence and machine learning development and deployment efforts. You will work closely with data scientists and ML engineers to provide robust tools, services, and environments that accelerate the AI lifecycle. The ideal candidate will have a strong background in software engineering, cloud infrastructure, and a passion for enabling cutting‑edge AI capabilities. This is an exciting opportunity to contribute to the growth of our AI practice and work with a talented group of professionals in a collaborative setting. Join us and help build the future of AI infrastructure.

Key Responsibilities

• Design, build, and maintain scalable and reliable AI/ML platforms and infrastructure on cloud environments (AWS, Azure, GCP).
• Develop and manage CI/CD pipelines for ML models and related services.
• Implement and manage tools for data management, feature stores, model training, experimentation tracking, and model deployment.
• Optimize infrastructure for performance, cost, and security.
• Automate operational tasks related to the AI/ML platform.
• Provide support and guidance to data scientists and ML engineers on platform usage and best practices.
• Monitor platform health, performance, and resource utilization.
• Troubleshoot and resolve issues related to the AI/ML infrastructure.
• Stay current with emerging technologies and trends in MLOps and AI platforms.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 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 technologies like Docker and Kubernetes.
• Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow, Seldon Core).
• Understanding of infrastructure as code principles (e.g., Terraform, Ansible).
• Experience with data pipelines and storage solutions.
• Strong problem-solving skills and a proactive approach.
• Excellent communication and collaboration abilities.

Benefits

• Competitive salary and performance-related bonuses.
• Comprehensive health and wellness coverage.
• Generous paid time off and holidays.
• Opportunities for professional development, certifications, and training.
• A dynamic and collaborative work environment in Upington, Northern Cape .
• Retirement savings plan with company contributions.
• Exposure to the latest AI technologies.