Predictive Maintenance Software Engineer (MWM Digital)

Overview

Develop predictive maintenance, anomaly detection and Remaining Useful Life (RUL) algorithms for gas engines within the MWM Digital team at Caterpillar.

What you'll do

• 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, and external software development partners.

What you'll need

• Degree in Data Science, Computer Science or a related field.
• Strong knowledge of Python (e.g., pandas, NumPy), SQL, machine learning and AI methods.
• Expertise in time series analysis and machine learning model development.
• Experience working with large-scale data platforms and cloud environments (e.g., Azure, AWS).
• 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.

Nice to have

• Knowledge of gas engine and failure analysis.
• Experience using CAT ACE / ACEint and CAT Foresight.

Details

• Location: Bangalore, Karnataka.
• Posting dates: November 9, 2026 - November 23, 2026.