
Intern — Machine Learning Engineer (m/f/d)
U-Glow
internship
Posted on:
Location Type: Remote
Location: Remote • 🇪🇺 Anywhere in Europe
Visit company websiteJob Level
Entry Level
Tech Stack
PythonPyTorchTensorflow
About the role
- You develop AI models and neural networks that detect critical points in water networks.
- You analyze sensor data, geospatial data and images to identify risks early.
- You apply generative AI to simulate solutions and optimize infrastructure.
- You develop ML pipelines and models in Python and work with modern AI frameworks.
- You support the development of data models for a sustainable water supply.
- You participate in short team meetings and collaborate closely with various departments.
Requirements
- You are studying Computer Science, Data Science, Geoinformatics or a related field.
- You have experience with Python and neural networks (PyTorch, TensorFlow, or similar).
- You are interested in sustainability, water management, or smart city applications.
- You work in a structured, independent, and solution-oriented manner.
- Ideally, you can show initial GitHub projects, commits, or your own repositories.
- You are eager to take on responsibility and try new technologies.
- You have excellent German and English skills.
Benefits
- Work on a real forward-looking project with a strong focus on sustainability and societal impact
- Valuable portfolio projects for your future career
- Learning by doing: the opportunity to experiment independently
- Room for experimentation: contribute your own ideas, test models and try innovative approaches
- An open, dynamic work environment with flat hierarchies
- Work with a young, committed, and mutually supportive tech team
- Flexible working hours to best balance studies, work and personal life
- 100% remote work
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI modelsneural networksmachine learning pipelinesPythonPyTorchTensorFlowdata modelinggenerative AIdata analysisgeospatial data
Soft skills
collaborationstructured workindependent worksolution-orientedresponsibilityeagerness to learncommunication