Working Student (mfd) Computer Vision & Deep Learning

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.

• 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 Bachelors or Masters 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 GD sports club
• Use of the GD Vital Bistro and Barista Bars

$$ 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.

$$Antonia Kratzl $$ $$ $$$$ Experience:

Intern