Machine Learning Engineer (Modeling), Families Risk
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Die Stelle
Join a risk-focused ML team to develop models that detect and prevent risky or abusive activity across the Families product.
Design machine learning systems for real-time detection to strengthen account integrity and secure a trusted family ecosystem.
Collaborate cross-functionally with engineering, product, and operations to deploy scalable, production-ready models.
Research emerging risk patterns in financial activity to proactively shape safeguards and policy.
Mentor and grow modelling capabilities by guiding fellow data scientists and engineers.
Own solutions end-to-end, from design through monitoring and maintenance in production, with a strong sense of autonomy.
Design machine learning systems for real-time detection to strengthen account integrity and secure a trusted family ecosystem.
Collaborate cross-functionally with engineering, product, and operations to deploy scalable, production-ready models.
Research emerging risk patterns in financial activity to proactively shape safeguards and policy.
Mentor and grow modelling capabilities by guiding fellow data scientists and engineers.
Own solutions end-to-end, from design through monitoring and maintenance in production, with a strong sense of autonomy.
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