OVERVIEW We are seeking an ML Ops Engineer to own the machine learning lifecycle in production. You will be responsible for getting the five detection models from trained artifact to live, low latency serving, then keeping them healthy monitored, versioned, and retrained. Your product is the models running well in production, not the data pipeline underneath them. GENERAL