AI Platform Engineer — Scalable ML Infra & Pipelines
Summary
AI Platform Engineer (posting references AECOM in Kimberley) building, scaling, and maintaining infrastructure for AI/ML initiatives: developing data pipelines, managing ML workflows, and ensuring reliable deployment environments using Kubeflow, MLflow, Docker, Kubernetes, and major cloud platforms to support data scientists and ML engineers.
AECOM in Kimberley is seeking an AI Platform Engineer to build, scale, and maintain the infrastructure for AI and ML initiatives. You will develop robust data pipelines, manage ML workflows, and ensure reliable deployment environments, enabling cutting-edge AI capabilities.
Join a collaborative, innovative team and work with Kubeflow, MLflow, Docker, Kubernetes, and major cloud platforms to support data scientists and ML engineers in delivering impactful solutions.