Working Student Computer Vision & Deep Learning

• 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

• 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

Pulled from the full job description

• Flexible schedule, * Opportunity to work on real-world AI and Computer Vision applications with direct business impact
• Exposure to state-of-the-art Deep Learning, Machine Learning, and Computer Vision technologies
• Mentorship from experienced AI, Machine Learning, and Computer Vision engineers
• Flexible working hours to support your academic schedule
• Collaborative and innovative work environment that encourages learning and professional growth
• Hands-on experience in challenging domains such as ID document verification, quality inspection, biometric systems, and intelligent automation
• Opportunity to contribute to research, prototyping, and product development initiatives
• Attractive remuneration
• Access to the G+D sports club
• Use of the G+D Vital Bistro and Barista Bars

Giesecke+Devrient ist ein weltweit tätiges Unternehmen für Sicherheitstechnologien, sowohl in der physischen als auch in der digitalen Welt. Milliarden von Menschen profitieren in ihrem privaten und geschäftlichem Alltag von G+D. Mit rund 11.600 Beschäftigten in 32 Ländern entwickeln, produzieren und vertreiben wir Produkte und Lösungen rund um die Absicherung von Bezahlvorgängen, Identitäten, Konnektivität und Daten.

Alles begann 1852 in Leipzig mit dem Druck von Wertpapieren. Heute ist unser Portfolio so vielseitig wie das moderne, mobile Leben. Wer mit Bargeld, Karte oder dem Smartphone bezahlt, nutzt mit hoher Wahrscheinlichkeit unsere Technologien.

Hinter all diesen Facetten steht ein gemeinsames Ziel: Creating Confidence – Vertrauen schaffen. Damit dies in allen Bereichen noch besser gelingt, untergliedert sich die Unternehmensgruppe seit 2017 in vier Unternehmensbereiche: in G+D Currency Technology, G+D Mobile Security, Veridos – ein Joint Venture mit der Bundesdruckerei – und in die börsennotierte secunet Security Networks AG.