You will gain hands-on experience at the intersection of industrial automation, artificial intelligence, and manufacturing processes. A key focus of your internship will be supporting the implementation of AI-enabled industrial vision systems for the automatic monitoring of assembly and kitting processes, contributing to the development and training of image recognition models in a real manufacturing environment.
What you will do & learn
- Manufacturing Process Analysis: Analyze assembly and kitting processes to identify critical features to be monitored and the main potential sources of errors.
- Industrial Vision Systems: Support the development and implementation of industrial vision solutions aimed at automatically verifying the correct composition of kits and the execution of assembly operations.
- AI & Image Recognition: Contribute to the definition, training, and validation of image recognition models for component counting and anomaly detection.
- Data Analysis & Performance Monitoring: Analyze results and monitor key performance indicators related to quality, efficiency, and scrap reduction, supporting the evaluation of the implemented solutions.
- Technical Documentation & Standardization: Support the preparation of technical documentation and the definition of operational standards required for the industrialization of the solution.
Assigned Project
You will contribute to a project focused on the implementation and industrialization of an AI-enabled vision system for assembly and kitting process control.
In particular, you will:
- Analyze current assembly and kitting processes and identify the critical features and potential errors to be detected;
- Support the development and configuration of an industrial vision system for automated process monitoring;
- Contribute to the collection and preparation of image data for AI model training and validation;
- Support the training and validation of image recognition models for component counting and anomaly detection;
- Evaluate the performance of the developed solution through dedicated quality and process KPIs;
- Collaborate with Production, Quality, and Manufacturing Engineering to integrate the solution into existing processes;
- Contribute to the definition of technical documentation and operating standards to support the industrialization of the solution.
What distinguishes you?
Education: Currently pursuing a Bachelor’s or Master’s degree in Automation Engineering, Mechatronics Engineering, Computer Engineering, Electronic Engineering, Industrial Engineering, or a related technical field;
Languages: fluent in Italian and English;
Others: Basic knowledge of programming and data analysis; familiarity with Python, computer vision, artificial intelligence, or machine learning would be considered a plus; strong interest in artificial intelligence, computer vision, industrial automation, and Industry 4.0 applications;
If you feel confident in the position don't hesitate to apply
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Bosch is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, national origin or ancestry, age, disability or any other protected class
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