Description
This role involves shaping data-driven maintenance strategies focusing on Condition-Based Monitoring (CBM) and Predictive Maintenance (PdM) for rail vehicles. The individual will collaborate with Data Scientists and subject-matter experts to develop and implement robust data-based models for daily operations, ensuring they are technically sound, practical, and sustainable. Responsibilities include developing machine learning models for condition monitoring and forecasting, integrating these models into IoT systems, deploying and continuously improving MLOps processes, analyzing various data sources, translating engineering requirements into data science problems, and defining technical standards for data-driven maintenance.
