As Machine Learning Engineer you develop and optimize automated analytics solutions to handle production process data in industrial use-cases. You design and implement machine learning prototypes and scalable algorithms for specific projects as well as for our product applications. Therefore, you exchange ideas with our customers, support our project teams and work closely together with our core development division to integrate mature algorithms into the backend of our software. Your work also helps to reduce algorithmic complexity and computational cost.

What you should bring to the table:
▪ Degree in a STEM subject incl. programming and machine learning courses
▪ At least one year (if you have a degree in data science or a related field, otherwise – two years) of experience as full-time employee in professional software engineering or data science
▪ Over-average grades
▪ Advanced practical programming skills in Python from experiences outside of university
▪ Advanced skills in machine learning from theoretical AND practical experiences
▪ You developed software in a team using Git
▪ Open-mindedness, learning-by-doing and 100 % motivation

Bonus points for experience with:

▪ Databases
▪ Docker, Kubernetes
▪ OpenAPI
▪ Parquet
▪ RabbitMQ / AsyncAPI
▪ Apache Spark, Apache Drill
▪ MLFlow
▪ SHAP / CXPlain