Predictive Maintenance Software Engineer (MWM Digital)

This role involves developing predictive maintenance, anomaly detection, and Remaining Useful Life algorithms for gas engines, analyzing large-scale machine and time-series data to identify failure patterns, and designing machine learning models. The position requires collaboration with service engineers, product experts, and external software development partners to translate engine failure mechanisms into software requirements and analytics solutions. The ideal candidate will have a degree in Data Science or Computer Science, strong Python and SQL skills, and experience with cloud environments and time series analysis.