R&D Machine Analytics
Core
Develop machine learning models and data pipelines to analyze industrial IoT data for condition assessment, anomaly detection, and predictive maintenance of machine tools.
Role type
Senior IC machine learning engineer (industrial IoT)
Builds
Predictive models, dashboards, and data pipelines for technical service and engineering operations
Domain
Industrial manufacturing / Machine tools / IoT
Deliverable
production ML models
Required skills
Python, SQL/T-SQL, Machine Learning, Statistical Analysis, Time-series Analysis, ETL, Cloud (Azure), Containerization, Generative AI
Preferred skills
Power BI, Tableau, PySpark, Databricks, FastAPI, React, Knowledge of laser technology, German language
Technologies
Azure, Databricks, PySpark, FastAPI, Flask, React, Power BI, Tableau, CI/CD
Responsibilities
Develop and maintain internal web applications, dashboards, and APIs for technical service; Analyze machine and sensor data to diagnose issues and identify patterns; Develop and validate statistical and machine-learning models for failure prediction; Build efficient Python solutions and ETL pipelines; Apply DevOps practices for deployment and monitoring; Collaborate with technical service and R&D teams to solve diagnostic challenges.
Seniority
Senior, hands-on IC
