**Project Name:** i4 Safety **VP/Department:** Digital Enablement **Area**: Global Data Science **Business Unit:** Central **Office Location**: Blvd. Gustavo Díaz Ordaz 333\- Lote 2, 66215 San Pedro Garza García, N.L. México **Current Year:** Sophomore or Junior **Career(s) of Interest**: Computer Science, Data Science, Mathematics **Internship Description:** The intern will support the development, training, and deployment of computer vision models. Working alongside data scientists and software engineers, the intern will build models for object detection, image classification, segmentation, and tracking for real\-world applications. **Project Objective:** Apply computer vision and machine learning tehcniques to solve a defined perception problem, while gaining jands\-on experience on model development, evalutaion, and deployment pipelines. Challenges for the Student: * Handling limited or imbalanced datasets * Achieving real\-time inference speed while maintaining accuracy * Managing data labeling quality and preprocessing pipelines. Main responsibilities and activities: * Assist in data collection, preprocessing, and annotation of images and video datasets. * Train deep\-learning and Gen\-AI models for vision tasks using frameworks such as Pytorch. * Evaluate model performance using metrics like IoU, precision, recall, and confusion matrices. * Contribute to model integration into APIs. * Document experiments, results, and key insights for team reports. Specific requirements, technical and soft skills: * Programming in Python * Python libraries such as Pytorch, OpenCV, NumPy, and scikit\-learn * Theoretical knowledge of Deep Learning, CNN´s, Transformers, and transfer learning * Version control (Git, GitHub) * Docker