AI Application Architect

<p>Description : Client is seeking an ML/AI Engineer to develop, fine-tune, and operationalize machine learning models that predict track nonconformities on the 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.</p> <b>Key Responsibilities:</b> <ul> <li>Perform feature engineering on sensor and operational data to identify patterns correlated with documented track defects in Hexagon (HxGN)</li> <li>Leverage and refactor existing prototype ML models for pilot-scale use; validate performance and suitability for production</li> <li>Utilize Vertex AI Workbench to train, retrain, and version ML models; track experiments and metrics</li> <li>Condu...