About this role
Abschlussarbeit Entwicklung eines ML-Modells zur Anomalieerkennung at STIHL. Location: Waiblingen, Baden-Württemberg, Germany. Role: analyzing data, processing time-series, implementing models Requirements: Enrolled computer science student; knowledge of Python, machine learning, and Databricks desirable; ability to analyze and preprocess time series sensor data and implement/evaluate ML models for anomaly detection. Category: Research and Development (R&D) Seniority: Entry Level Tools: Python, Databricks Commitment: Internship Workplace: Onsite Languages: German