AI Manufacturing Engineer – CURRICULAR INTERNSHIP (m/f/d)
Prefer a full account with a password? Sign Up to Apply
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.
Requirements
Function: Engineering
Experience Level: Internship