Job Description
Our customer is seeking a highly experienced Machine Learning / AI Engineer (8+ years) to design, develop, and operationalize predictive models that identify track nonconformities across a metropolitan subway system.
This role will work within a Google Cloud Vertex AI environment, leveraging multi-modal sensor data (vibration, audio, location) captured via Pixel-based hardware kits on revenue cars, along with ground-truth defect data from MTA’s Hexagon (HxGN) system. The ideal candidate will play a critical role in advancing the TrackInspect application by delivering production-grade ML solutions for predictive maintenance and anomaly detection.

Key Responsibilities
Perform advanced feature engineering on sensor and operational datasets to identify patterns associated with known track defects in HxGN
Refactor and enhance existing prototype ML models for pilot and production-scale deployment
Utilize Vertex AI Workbench to train, retrain, version, ...