Description: Client is seeking an ML/AI Engineer to develop, fine-tune, and operationalize machine learning models that predict track nonconformities on the NYC subway system. Working within a Google Cloud Vertex AI environment, you will leverage sensor data (vibration, audio, location) captured by Pixel phone hardware kits on revenue cars and ground-truth defect records from MTA's Hexagon system to build predictive models supporting the TrackInspect application. Key Responsibilities

+ Perform feature engineering on sensor and operational data to identify patterns correlated with documented track defects in Hexagon (HxGN)

+ Leverage and refactor existing prototype ML models for pilot-scale use; validate performance and suitability for production

+ Utilize Vertex AI Workbench to train, retrain, and version ML models; track experiments and metrics

+ Conduct hyperparameter tuning and model validation activities to optimize nonconformity prediction ac...