AI Manufacturing Engineer - CURRICULAR INTERNSHIP (m/f/d)

With its five product lines of compact hydraulics  Bosch Rexroth Oil Control SpA , with factories in the province of Modena and Reggio Emilia and over 1,300 employees, has been producing and marketing compact hydraulic components for multiple applications for over 40 years, from aerial platforms to cranes, earth-moving machinery, agricultural machinery, industrial applications.

What characterizes  Bosch Rexroth Oil Control S.p.A.  is the ability to study customized solutions in relation to each specific customer requirement. For this reason, the products of Bosch Rexroth Oil Control S.p.A. they are synonymous with quality and represent a guarantee for the global market.

In industrial hydraulics, Bosch Rexroth is actively shaping the transition from conventional to intelligent and connected hydraulics. This opens up enormous potential for the easy and economical integration of machines and systems into modern industrial environments.

Our R&D department based in Nonantola (MO) is a center of global competence for Compact Hydraulic products. 

Job Description

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.

Qualifications

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;

Additional Information

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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