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

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 antonia.kratzl@gi-de.com

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, DECareer level

Working Students

Job Type

Parttime

• Contact

Antonia Kratzl

antonia.kratzl@gi-de.com 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.