Your Tasks
- As Machine Learning Engineer (m/f/diverse) in our Risk Management team you are responsible for the development of machine learning pipelines and web services for real time fraud prevention
- You further develop our automated retraining system
- You connect external, real time data sources via APIs
- You develop tools for improved manual review of fraud cases
- Together with your team, you build a fraud trend detection system
Requirements
- You have already gained profound professional experience in software development when it comes to creating APIs, connecting web services or building data applications
- You are able to translate business requirements to programmatic solutions
- You have experience in designing and building pragmatic and maintainable solutions to business problems
- You have advanced programming skills in Java and/or Python
- You have a basic understanding of statistics and/or machine-learning
- Knowledge in Spring Boot, Numpy, Pandas, sklearn, Kafka, Docker and Postgres is a plus
- You have very good English skills, German skills are a plus
That’s how working at RatePAY will be
- An interdisciplinary team in which you will make a difference and where sharing knowledge is very important
- You can choose your technical equipment and work with a modern tech stack
- Lots of space for your personal and professional development
- Resources to realise your innovative ideas to improve our products
- Internal and external trainings and education
- Flat hierarchies and short decision paths
- Company- and team events and a great time with your colleagues