Working Student Machine Learning Engineer
Role details
Job location
Tech stack
Job description
As a Machine Learning Engineer, you will work on the development, training, and deployment of state-of-the-art ML models for image processing. You will contribute to the design and implementation of robust training and labeling pipelines and ensure efficient data collection, preprocessing, and augmentation. Working closely with AI engineers, software developers, and product teams, you will help develop scalable, maintainable, and high-performance ML systems that have a tangible impact on industrial quality control., * Deep insights - You can get involved in many different areas and thus actively shape the company's future.
- Strong together - You are part of our team, not only during working hours, but also at our team-building and after-work events.
- Strong foundation - During your training, both the founders and your colleagues will be on hand to offer you advice and support.
- Great prospects - we want you to grow with us. We support your professional and personal development.
- Outside of the Box - We count several global players among our customers. Join us on site to experience what goes on behind the scenes at the very top.
On site, flexible working hours: 15-20 hours/week
Requirements
Do you have experience in SQL?, * In-depth knowledge of Python and deep learning frameworks (Keras/PyTorch/...)
- Understanding concepts and datasets in the field of computer vision
- Willingness to learn new technologies
Nice to have
- Experience with AzureML, AWS SageMaker, or similar ML cloud platforms.
- Knowledge of data annotation workflows
- Familiarity with SQL databases and data pipelines
- Knowledge of labeling, training, and experiment tracking tools (Weights & Biases, MLflow, etc.)
