Join our Technology Incubation Division in München (Germany) at the earliest possible date.
Your tasks
* Training of state-of-the-art AI models for image anomaly detection
* Development of test pipelines for automated benchmarking of AI models
* Data analysis and filtering for large-scale pre-training
* Keeping an eye on the latest advances in the field of AI/ML for computer vision / anomaly detection
Your qualifications
* Currently pursuing a master's degree in the field of computer science, electrical engineering or similar
* Proven experience with PyTorch for training and testing AI models
* Good understanding of computer vision models (CNNs, Vision Transformers) and frameworks (self-supervised pre-training, foundation models, anomaly detection)
* Familiarity with Linux CLI
* First experience with cloud deployments, e.g. Docker, Kubernetes, OpenShift
* Foundational knowledge of signal processing is advantageous
Interested?
We are looking forward to receiving your application! The best way to apply is online using the reference number. If you have any questions, please feel free to contact your recruiting contact at any time.
You must be properly enrolled for the duration of your employment. You can work up to 20 hours per week during the lecture period. Mobile working is possible - but your main place of work is Munich.
We place great importance on equal opportunities. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age as well as sexual orientation and identity.
Reference number: 14956
Recruiting contact: Emilia Kansik