onsite
Machine Learning Engineer - Mercedes-Benz Group AG
ML Engineer
Internship focused on developing and deploying machine‑learning models using Python, TensorFlow, and PyTorch, with cloud support on AWS and data pipelines built on SQL and data engineering principles.
About the role
Key Responsibilities
- Design, implement, and test machine‑learning models for automotive applications using Python, TensorFlow, and PyTorch.
- Collaborate with data engineers to build and maintain scalable data pipelines and feature stores.
- Deploy models to AWS services (SageMaker, Lambda) and monitor performance in production.
- Analyze model outputs, conduct experiments, and iterate to improve accuracy and efficiency.
- Document code, experiments, and results for cross‑functional teams.
Requirements
- Current university student in Computer Science, Data Science, or related field.
- Strong programming skills in Python and experience with ML libraries.
- Familiarity with cloud platforms, preferably AWS, and data engineering concepts.
- Excellent analytical and problem‑solving abilities.
- Good communication skills in German and English.
Skills
pythonmachine learningtensorflowpytorchawssql