MLOps Engineer — Build Scalable AI Pipelines (Hybrid)
Summary
MLOps Engineer at Placements24 in Sandton (hybrid) who streamlines machine-learning deployment, monitoring, and maintenance in production. Day-to-day combines AI operations with collaboration across data science and software teams, using Python, Docker, Kubernetes, CI/CD tooling, and cloud ML services.
Placements24 in Sandton, Gauteng, seeks an experienced MLOps Engineer to streamline ML deployment, monitoring, and maintenance in production. The role combines AI operations with collaboration across data science and software teams in a hybrid work setting.
The candidate should have a strong background in MLOps, DevOps, and cloud ML services, with proficiency in Python, Docker, Kubernetes, and CI/CD tooling. A CS/Engineering degree is preferred for this position.