Summary from listing
The DevOps/MLOps Engineer will support the stability, monitoring, and ongoing maintenance of Schwarz IT Hub’s existing cloud-native Computer Vision platform. Responsibilities include maintaining CI/CD and ETL/ML training pipelines, monitoring system health, managing infrastructure and scaling, provisioning developer VMs, and supporting the integration of machine learning models into production. The role requires 2–4 years of professional experience in DevOps, MLOps, or Data Engineering, along with hands-on experience in Docker, Kubernetes, Terraform, cloud platforms, databases, object storage, Python, and AI/Deep Learning workflows.
