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# Working Student Computer Vision & Deep Learning

- **Company:** Giesecke+Devrient GmbH
- **Location:** München, Germany
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Cloud Computing, Computer Programming, Python (Programming Language), Linux System Administration, Machine Learning, Object Detection, OpenCV, Performance Tuning, Tensorflow, Pytorch, Deep Learning, Model Validation, Generative AI, Git, Scikit Learn, Information Technology, Machine Learning Operations, Docker
- **Published:** August 4, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=c3470d0f3aa8eda2

## About the Role

* Currently pursuing a Bachelor's or Master's degree in computer science, Artificial Intelligence, Machine Learning, Data Science, Robotics, or a related field
 * Solid understanding of Computer Vision, Machine Learning, and Deep Learning concepts
 * Hands-on experience with deep learning frameworks such as PyTorch and/or TensorFlow
 * Strong programming skills in Python
 * Experience with computer vision libraries and tools such as OpenCV, scikit-image, or similar
 * Familiarity with modern deep learning architectures, including CNNs, Vision Transformers (ViTs), object detection frameworks (e.g., YOLO, Faster R-CNN), and image segmentation models
 * Understanding of model evaluation, hyperparameter tuning, and data augmentation techniques
 * Experience with Git, Linux environments, and basic software development practices is a plus
 * Knowledge of MLOps, model deployment, Docker, cloud platforms, or Generative AI is an advantage
 * Strong analytical and problem-solving skills
 * Self-driven team player with excellent communication skills and eagerness to learn

## Description

* Assist in the development, training and optimization of computer vision and deep learning models
 * Design and implement machine learning solutions for tasks such as object detection, image classification, segmentation, anomaly detection, OCR, and biometric verification
 * Prepare, clean and analyze image datasets for model training and evaluation
 * Conduct experiments, benchmark models, and analyze performance metrics to improve system accuracy and robustness
 * Research and evaluate the latest advancements in computer vision, deep learning, and generative AI technologies
 * Collaborate with cross-functional teams to integrate AI models into production workflows
 * Contribute to documentation, testing, and continuous improvement of AI solutions
 * Participate actively in technical discussions, knowledge sharing, and innovation initiatives


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