Predictive Maintenance Software Engineer (MWM Digital)

Job Summary

Career Area: Technology, Digital and Data

Responsibilities

• Develop predictive maintenance, anomaly detection, and Remaining Useful Life (RUL) algorithms for gas engines.
• Analyze large-scale machine and time-series data to identify failure patterns and degradation mechanisms.
• Design, develop, validate, and continuously improve machine learning models and analytics solutions.
• Translate engine failure mechanisms into software requirements and analytics models.
• Collaborate with service engineers, product experts across divisions as well as external software development partners.

Requirements

• Degree in Data Science, Computer Science or a related field ideally with knowledge of gas engine and failure analysis.
• Strong knowledge in Python (e.g., pandas, NumPy), SQL, machine learning and AI methods and expertise in time series analysis and machine learning model development
• Experienced working with large-scale data platforms and cloud environments (e.g., Azure, AWS)
• Ideally experienced in using CAT ACE / ACEint and CAT Foresight.
• Excellent analytical and communication skills, with the ability to work effectively in cross-functional teams
• High level of self-motivation, ownership, and ability to work independently

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