ML DevOps Engineer: Cloud, Pipelines & Scale
Summary
ML DevOps Engineer responsible for operationalizing ML models, optimizing training/inference infrastructure, managing ML pipelines and model versions across a multi-cloud environment with Linux systems administration.
Pathway is seeking a Machine Learning DevOps engineer with strong cloud and compute-cluster management, capable of scaling infrastructures and administering Linux systems. The role focuses on operationalizing ML models, ensuring reliability, automation, and scalable pipelines in a multi-cloud environment.
You will optimize ML training/inference infrastructure, manage ML pipelines, track model versions, and collaborate with ML and software teams to support growing production workloads across