Senior Spezialist:in CBM & Data-Driven Maintenance (IoT & Machine Learning)
Core
Senior specialist ensuring the practical implementation and operational reliability of Machine Learning models for Condition-Based Monitoring (CBM) and Predictive Maintenance of rail vehicles.
Role type
Senior IC Machine Learning Engineer (Rail Vehicle Maintenance)
Builds
Robust CBM and Predictive Maintenance applications integrated into IoT systems for rail vehicles.
Domain
Rail transport / Industrial IoT / Predictive Maintenance
Deliverable
production ML models
Required skills
Domain knowledge of rail vehicles and diagnostic systems, Time series analysis and signal processing, Machine Learning and statistical methods, Model evaluation in industrial contexts, Python (pandas, scikit-learn), System integration and data streams, MLOps practices
Preferred skills
Experience with Spark/MLFlow, Collaboration with Data Scientists and Data Engineers, Experience with central IT and platform teams
Technologies
Python, pandas, scikit-learn, Spark, MLFlow, IoT systems
Responsibilities
Collaborate with Data Scientists to develop ML models for state monitoring and prognosis, Ensure ML models function realistically within the vehicle context, Translate vehicle engineering requirements into data science problems, Oversee deployment, monitoring, and continuous development of models (MLOps), Analyze operational, diagnostic, and sensor data to replace rule-based maintenance with model-based approaches, Define technical standards for data-driven maintenance regarding model integration and data quality
Seniority
Senior, hands-on IC
