ML-Engineer (m/w/d) – Machine Learning für Recyclinganlagen
Core
Developing production-ready machine learning models for anomaly detection in time-series data from recycling plants to optimize operations.
Role type
Senior Machine Learning Engineer (IIoT/Time-Series)
Builds
Scalable data and model pipelines on AWS for recycling machinery
Domain
Industrial IoT / Recycling / Circular Economy
Deliverable
production ML models
Required skills
Python (advanced OOP), SQL, AWS (EC2, Lambda, S3, CloudWatch), scikit-learn, pandas, NumPy, Git, CI/CD, Infrastructure as Code
Preferred skills
Industrial real-time machine data, AI coding assistants (Claude, GitHub Copilot)
Technologies
AWS, Python, PostgreSQL, scikit-learn, pandas, NumPy, Git, CI/CD
Responsibilities
Design and develop scalable data and model pipelines on AWS; Deploy and monitor ML models with AutoML-based retraining; Design data models and write efficient SQL queries; Implement solutions in maintainable Python code following software development practices.
Seniority
Senior, hands-on IC
