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    Machine Learning Engineer (m/f/diverse) with Java in a Fintech company in Berlin at RatePAY GmbH (Berlin, Deutschland)
    RatePAY GmbH Employer
    Berlin, Deutschland
    Job Type
    Job Location
    Full Time
    Berlin, Deutschland

    Job Description:

    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

    Benefits:

    Certificate
    Flexible Hours
    Letter of Recommendation
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