Your tasks
As (Junior) Software Engineer Java (m/f/diverse) in Machine Learning you are an integral part of our joint mission to build and run the smart solutions, which make deferred online payment as simple, secure and frictionless as possible for both shoppers and sellers in the growing European market.
- You are responsible for the development of machine learning pipelines and web services for real time fraud prevention and risk assessment
- You connect internal and external, real time data sources via APIs
- You automate our machine learning pipelines as much as it is practical for our business
- You develop tools for improved manual review of fraud cases
- You are an active part of our agile software development. Together you are building and running state-of-the-art software solutions that customers love
Requirements
- You successfully completed your studies in computer science, business informatics or a comparable vocational training
- You have experience in Software Engineering in Java (version 8+) and with Junit/Mockito Testing
- You gained experience in object oriented programming, developing REST APIs, using SQL and database operations
- Our credo is “we build it, we run it” and you are happy to share it
- You will work in a dedicated and creative team where we expect open, candid communication and feedback from each other
- We work on business-critical systems; therefore, we expect you to work in a decisive way to generate high quality business value
- You share an agile mindset with us, since we like working in Scrum
- You have very good English language skills, German is a plus and you are open to learn
You can look forward to the following Benefits
- A team of developers, 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
- Company- and team events and a great time with your colleagues
- 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
- Check out our RatePAY tech stack on StackShare