Remote MLOps Engineer: Pipelines, Deployment & Scale
Summary
Designs and manages scalable machine-learning pipelines in production at Fraser Alexander: automating model training, deployment, monitoring, and retraining. Core stack is Python, Docker/Kubernetes, cloud ML services, and CI/CD, collaborating remotely with data scientists and software engineers in a global remote-first team.
Fraser Alexander (Pty) Ltd seeks an experienced Remote MLOps Engineer to design and manage scalable ML pipelines in production. You will automate training, deployment, monitoring, and retraining while collaborating with data scientists and software engineers across a global, remote-first team.
The role emphasizes Docker/Kubernetes, cloud ML services, and robust CI/CD practices. A strong Python background and effective communication in a distributed environment are essential.