Job Description
Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.
The Bosch Business Innovations GmbH is looking forward to your application!
Employment type: Limited
Working hours: Full-Time
Joblocation: Ludwigsburg
- During your assignment you will delve deeply into the workings of industrial machines, analyzing failure modes and performance characteristics to develop a comprehensive understanding of their behavior.
- Your area of responsibility includes cleaning, processing, and constructing meaningful features from multivariate sensor data sets to create an excellent basis for advanced modeling and analysis.
- Take an active role in visualizing and analyzing complex data sets using time series charts, correlation matrices, and other exploratory techniques to uncover hidden relationships and interactions between key features.
- Furthermore you will develop hybrid algorithms that combine domain expertise with state-of-the-art analytics, AI, and machine learning methods to generate actionable insights for predictive maintenance and system optimization from digital twin data.
- From the first day you will accurately evaluate and validate models using labeled data sets and define performance baselines using relevant metrics such as accuracy, precision, and recall.
- You work on creating scalable templates and integrating them into our digital twin platform to optimize deployment and ensure repeatability across different plants and customers.
- Last but not least you will document methods, results, and technical workflows in a clear and structured manner to ensure knowledge transfer and the reproducibility of your solutions.
- Education: studies in mechanical engineering, computational engineering, computer science, physics or comparable
- Experience and Knowledge: strong skills in data analytics frameworks, machine learning algorithms (classification, regression, etc.), Git, and proficiency in Python programming is mandatory; experience in vibration monitoring (time and frequency domain analysis) or turbomachinery is preferred
- Personality and Working Practice: you are a self-motivated, proactive and responsible person, with the ability to work effectively in cross-functional teams
- Languages: business fluent in English
- Work-life balance: Flexible working in terms of time, place and working model.
- Health & Sport: Wide range of health and sports activities.
- Childcare: Intermediary service for childcare services.
- Employee discounts: Discounts for employees.
- Room for creativity: Space for creative work.
- In-house social counseling and care services: Social counselling and intermediary service for care services.
The recruitment contact or superior will be happy to provide information about the individual benefit plan.
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