This role involves leading the technical roadmap for AI-driven predictive maintenance and anomaly detection in elevator systems using advanced time-series models
Job Summary
This role involves leading the technical roadmap for AI-driven predictive maintenance and anomaly detection in elevator systems using advanced time-series models.
The successful candidate will manage a machine learning team while collaborating closely with embedded, IoT, and product teams to deploy models on edge devices or cloud platforms.
KONE fosters an innovative culture focused on sustainability, ethical business practices, and employee engagement where individual contributions are highly valued.
Matching Summary
This role involves leading the technical roadmap for AI-driven predictive maintenance and anomaly detection in elevator systems using advanced time-series models.
Skills & Requirements
Must-have
Machine Learning Team Leadership
Time Series Analysis with LSTM Transformer
Vibration Signal Processing FFT
Python Scikit-learn TensorFlow PyTorch
Predictive Maintenance Model Development
MLOps Pipeline Architecture Design
Nice-to-have
IoT System Data Integration Experience
English Communication Skills Required
Patent Publication or Research Papers
Digital Twin Technology Exploration
Cross-functional Collaboration Skills
Unsupervised Learning Application Knowledge
Key Requirements
Master's degree in Computer Science or related field
5+ years of Machine Learning experience
2+ years of team management experience
Fluent English oral and written communication
Experience with industrial equipment fault diagnosis