Senior Spezialist:in CBM & Data-Driven Maintenance (IoT & Machine Learning)
Core
Senior specialist ensuring data-driven Condition-Based Monitoring (CBM) and Predictive Maintenance (PdM) for rail vehicles by bridging vehicle engineering, IoT, and Data Science.
Role type
Senior IC machine-learning engineer (rail vehicle maintenance)
Builds
Robust CBM/PdM applications and production ML models for rail vehicle state monitoring and prognosis
Domain
Rail transport + Industrial IoT + Machine Learning
Deliverable
production ML models
Required skills
Domain knowledge of rail vehicles and diagnostic systems, IoT and communication architectures, Time series analysis and signal processing, Machine learning and statistical methods, Model evaluation in industrial contexts, Python (pandas, scikit-learn), Data processing systems (Spark/MLFlow), System integration and data streams
Preferred skills
Experience with IT and platform teams, MLOps practices
Technologies
Python, pandas, scikit-learn, Spark, MLFlow
Responsibilities
Collaborate with Data Scientists on ML model development for state monitoring and prognosis, Ensure ML models function realistically in 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
