AI/ML Platform Engineer — Scale MLOps & Cloud Infra

Placements24; Randburg; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive compensation

Health and wellness benefits

Professional development in AI/ML

Collaborative work environment in Rand

Flexible working options

Job summary

Placements24 in Randburg is seeking an experienced AI/ML Platform Engineer to design, build, and maintain scalable MLOps pipelines that support model training, deployment, and monitoring. You will develop and manage the AI/ML infrastructure on cloud platforms (AWS/Azure/GCP), and ensure secure, reliable operations in production.

You will implement automation for ML workflows, data management, and model versioning, collaborating with data scientists and engineers to optimize performance and

Qualifications

• Bachelor's degree in Computer Science, Engineering or a related technical field.
• 4+ years of experience in software engineering or DevOps with a focus on AI/ML platforms.
• Proficiency in cloud computing platforms and containerization (Docker, Kubernetes).
• Experience with CI/CD tools and automation frameworks.
• Understanding of machine learning concepts and the ML development lifecycle.

Responsibilities

• Design, build, and maintain scalable MLOps pipelines for model training, deployment, and monitoring.
• Develop and manage the AI/ML infrastructure on cloud platforms (e.g., AWS, Azure, GCP).
• Implement tools and processes for automating ML workflows, data management, and model versioning.
• Collaborate with data scientists and engineers to optimize model performance and reliability in production.
• Ensure the security, stability, and scalability of the AI/ML platform.

Skills

Cloud platforms

Docker

Kubernetes

CI/CD

ML concepts

MLOps

Education

Bachelor's degree in Computer Science/Engineering

Tools

CI/CD tools

Automation frameworks

Job description

Placements24 in Randburg is seeking an experienced AI/ML Platform Engineer to design, build, and maintain scalable MLOps pipelines that support model training, deployment, and monitoring. You will develop and manage the AI/ML infrastructure on cloud platforms (AWS/Azure/GCP), and ensure secure, reliable operations in production.

You will implement automation for ML workflows, data management, and model versioning, collaborating with data scientists and engineers to optimize performance and