Staff Machine Learning Engineer (Credit International ML)
Core
Technical leader building high-quality production-grade ML models to predict repayment behavior and optimize loan offers for borrowers in Europe and Australia.
Role type
Staff Machine Learning Engineer (Credit Risk)
Builds
Production ML models for credit lending decisions
Domain
Fintech / Credit Risk
Deliverable
production ML models
Required skills
Python, Tabular classification (LightGBM/XGBoost), Deep Learning (PyTorch), Distributed data processing (Spark, Ray), ML lifecycle tooling (Kubeflow, Airflow, MLflow), AI-powered developer tools
Preferred skills
None stated
Technologies
LightGBM, XGBoost, PyTorch, Spark, Ray, Kubeflow, Airflow, MLflow, Claude Code, Codex, Cursor
Responsibilities
Set technical strategy for the team on a year-long time scale, Collaborate with ML Platform, product, engineering, and risk leadership to shape long-term modeling capabilities, Act as a force-multiplier by defining and advocating technical solutions and operational processes, Foster a culture of quality and ownership by setting code review and design standards, Develop talent by providing feedback and guidance
Seniority
Staff, hands-on IC with mentorship
