*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- 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