AI/ML Platform Engineer — Hybrid, Cloud & MLOps

Placements24; Polokwane; Hybrid; ZAR 600,000 - 1,100,000; Full time

Benefits offered by this job

Competitive salary and incentives

Comprehensive medical, dental, and退休/退

Hybrid work model

Job summary

Placements24 in Polokwane, Limpopo, seeks an AI/ML Platform Engineer to design and maintain scalable ML infrastructure, enabling data scientists to build, train, and deploy models seamlessly. The hybrid role focuses on cloud-native platforms, MLOps pipelines, and tooling, with emphasis on reliability, security, and performance.

Collaboration with ML engineers and data scientists is essential for success. Join a forward‑looking team offering competitive compensation, comprehensive benefits, and

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in software engineering, with a focus on platform development or MLOps.
• Proficiency in cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
• Experience with ML frameworks and libraries.
• Strong understanding of CI/CD, infrastructure as code, and monitoring tools.

Responsibilities

• Design, build, and maintain scalable ML infrastructure and MLOps pipelines.
• Develop tools and frameworks to streamline the ML development lifecycle.
• Ensure the reliability, performance, and security of AI/ML platforms.
• Collaborate with data scientists and ML engineers to understand their needs and provide solutions.
• Automate deployment, monitoring, and management of ML models in production.

Skills

Platform development

MLOps

Cloud platforms

Docker/Kubernetes

CI/CD

Education

Bachelor's degree in CS/Engineering

Tools

Docker

Kubernetes

CI/CD tools

Job description

Placements24 in Polokwane, Limpopo, seeks an AI/ML Platform Engineer to design and maintain scalable ML infrastructure, enabling data scientists to build, train, and deploy models seamlessly. The hybrid role focuses on cloud-native platforms, MLOps pipelines, and tooling, with emphasis on reliability, security, and performance.

Collaboration with ML engineers and data scientists is essential for success. Join a forward‑looking team offering competitive compensation, comprehensive benefits, and