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Working Student (m/f/d) Computer Vision & Deep Learning

Giesecke+Devrient -
München

Jetzt bewerben

Details zur Stelle

Teilzeit

Leistungen

Flexible Arbeitszeiten

Qualifikationen

Informatik
Master
Bachelor

Vollständige Stellenbeschreibung

Veridos provides secure and innovative identity solutions to governments worldwide. We help ensure every citizen has access to a trusted legal identity – enabling participation in society and access to essential services. From passports and ID cards to mobile IDs and border control systems, we deliver end-to-end identity solutions tailored to national needs. Join our multicultural workforce to create innovative solutions that make a worldwide impact.

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

Your qualifications:

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

Your benefits:

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

A look behind the scenes

Contact

Antonia Kratzl

[email protected]

Job offer

Job Details

Job Title
Working Student (m/f/d) Computer Vision & Deep Learning

Business Sector
Veridos GmbH
Prinzregentenstr. 161
81677 Munich

Requisition ID
27526
Location
- Munich, DE
Career level
Working Students

Job Type
Parttime
Contact
Antonia Kratzl
[email protected]

We are an equal opportunity employer! We promote diversity in all its forms and create an inclusive work environment, free from prejudice, discrimination and harassment, in which all employees feel a sense of belonging. We warmly welcome all applications regardless of gender, age, race or ethnic origin, social and cultural background, religion, disability and sexual orientation.

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