Summary

Lead the design and production deployment of machine learning models for real-time financial crime detection at Wise. The role focuses on Python, PyTorch, deep learning, graph methods, and scalable model serving, with a hybrid working arrangement.

Responsibilities

• Design and ship real-time financial crime models
• Define architecture for modern risk machine learning
• Build reusable model training and deployment pipelines
• Prototype foundation models for transaction representation
• Partner on model evaluation and experimentation design
• Mentor engineers on production machine learning practices