Software Engineer in Machine Learning (m/f/d)

Together, we work every day on customized solutions for major online retailers and marketplaces, shaping the payment solutions of tomorrow.

We are looking for a pragmatic and rigorous Machine Learning Engineer (m/f/d) who can collaborate effectively and take ownership in a diverse team to

• build and run ML products that solve complex business challenges at scale in the Risk Management domain
• help shape the future of ML engineering at Ratepay by bringing your ideas on improving and automating what we do and how we do it
• Design, implement and improve scalable, efficient, and well-tested ML engineering solutions, which includes fraud prevention and credit risk decision systems with advanced feature engineering, algorithms and experimentation
• Build and own large additions to our ML engineering framework, charged with finding ways to create and improve scalable and reliable ML delivery solutions

• Professional experience and proficiency in building ML services and pipelines in Python or Java that are scalable, dependable, well tested and monitored
• Practical experience with DevOps practice
• Living software development best practices in your daily work (most important to us: clean code, testing, version control, automation, containerisation and code review)
• Experience with developing and deploying quantitative applications in a production data science setting
• Basic understanding of ML and statistics theory
• Business proficiency in English

• Flexible working hours and mobile office
• Individual solutions to balance work and family life
• Working with a modern Tech-Stack and the free choice of your working tools
• A challenging job in a rapidly growing industry
• Room for personal growth and professional development
• A safe working environment with plenty of scope for creativity
• Trustful interaction in a welcoming team with flat hierarchies
• Company and team events, knowledge exchange and the opportunity to contribute your ideas
• Ratepay company pension plan
• The opportunity to get involved in social projects as part of our sustainability initiative