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Machine Learning Internship - MTU Aero Engines AG
ML Engineer
Hands‑on internship focused on developing and deploying machine‑learning models for aerospace applications, leveraging Python, TensorFlow, and PyTorch on AWS infrastructure.
About the role
Key Responsibilities
- Design, implement, and evaluate machine‑learning models for predictive maintenance and performance optimization.
- Collaborate with data engineers to preprocess and feature‑engineer large aerospace datasets.
- Deploy models to cloud environments (AWS) and monitor their performance in production.
- Document methodologies, results, and best practices for internal knowledge sharing.
- Participate in cross‑functional team meetings to align ML solutions with business objectives.
Requirements
- Strong programming skills in Python and experience with ML libraries such as TensorFlow or PyTorch.
- Solid understanding of supervised and unsupervised learning techniques.
- Familiarity with cloud services (AWS) and model deployment pipelines.
- Excellent analytical and problem‑solving abilities.
- Good communication skills and ability to work collaboratively in a multidisciplinary team.
Skills
pythonmachine learningtensorflowpytorchdata analysisaws