Own infrastructure for ML training and serving, model versioning, deployment, rollback, and production operation.Build scalable pipelines for computer vision workloads processing 11 million images per day across cameras and roadside sensors.Develop cloud and edge deployment paths for models running on roadside hardware, including updates and operational monitoring.Create monitoring