Pflichtpraktikum Data Engineering & Data Analytics im Akustik-Testing
Core
Develop and optimize machine learning models to analyze acoustic measurement signals and drive digitalization in the testing domain.
Role type
Data Engineering & Data Analytics Intern (Acoustic Testing)
Builds
Cloud-based data evaluation pipelines and ML models for acoustic signal analysis
Domain
Technical Acoustics / Data Engineering
Deliverable
production ML models
Required skills
Python programming, Cloud data processing (Databricks), Machine Learning
Preferred skills
Mechatronics, Electrical Engineering, Mechanical Engineering, Data Science, Physics
Responsibilities
Design, train, and improve ML models for acoustic signal analysis; optimize data evaluation possibilities in the cloud; collaborate with teams on the interface of experiments and data processing
Seniority
Intern
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