*project name*: i4 safety- *vp/department*: digital enablement- *area*: global data science- *business unit*: central- *office location*: blvd.gustavo díaz ordaz 333- lote 2, * san pedro garza garcía, n.l. México-- *current year*:sophomore or junior- *career(s) of interest*: computer science, data science, mathematics- 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