Along with our partner, we are looking for a hands-on ML Engineering / MLOps role to contribute to our partner's training platform and their real-time scoring services. You will own pipelines end to end, keep models reliable at fleet scale, and ship the infrastructure that serves them.What you'll doDesign and build ML training and inference pipelines for time-series prediction (anomaly detection and forecasting).Build distributed processing services with Prefect and Ray (Ray Serve on Kubernetes…