Working Student (m/f/d) Computer Vision & Deep Learning
Erforderliche Skills
Stellenbeschreibung
Giesecke+Devrient hat diese Stelle ausgeschrieben. Unten erklären wir, was sie für dich als Werkstudent:in in Munich bedeutet: deine Wochenstunden, dein Netto und deine Visumsgrenzen. Du kannst außerdem ChatGPT oder Claude mit einem fertigen Prompt öffnen, um deinen Lebenslauf anzupassen, deine Eignung zu prüfen, ein Anschreiben zu verfassen oder dich auf das Interview vorzubereiten.
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Beschreibung bereitgestellt von Giesecke+Devrient
As a joint venture of Giesecke+Devrient, a global SecurityTech company and Bundesdruckerei, the German state printing service, we are always looking for talented and motivated colleagues who share our vision and want to shape the future of identities with us.
We are looking for a working student (m/f/d) who is passionate about Computer Vision and eager to apply modern AI techniques to real world identity and document verification challenges.
Your tasks:
- 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
- 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
Wichtiges für Werkstudierende
Was diese Werkstudentenstelle im Bereich Tech in Munich für dich bedeutet: die Wochenstundenregeln, die Vorteile bei den Sozialabgaben und worauf internationale Studierende vor der Bewerbung achten sollten.
Wochenstunden
Werkstudierende dürfen während des Semesters bis zu 20 Stunden pro Woche arbeiten, in den Semesterferien Vollzeit. Wer das einhält, behält den Studierendenstatus und die Werkstudentenvorteile.
Werkstudenten-RegelnSozialabgaben
Dank des Werkstudentenprivilegs zahlst du keine Beiträge zur Kranken-, Pflege- und Arbeitslosenversicherung — nur die Rentenversicherung greift. Dir bleibt mehr netto als in einem regulären Job.
Versicherung prüfenInternationale Studierende
Studierende von außerhalb der EU dürfen 140 volle oder 280 halbe Tage im Jahr arbeiten (seit März 2024, zuvor 120/240). Ein Werkstudentenvertrag passt meist in diesen Rahmen — prüfe die genauen Grenzen auf deinem Aufenthaltstitel.
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