Machine Learning Engineer

About the Role

We're seeking a Machine Learning Engineer to drive the evolution of our device intelligence capabilities. In this pivotal role, you will develop and deploy advanced ML solutions to combat fraud and ensure AML compliance for our global clients.

Responsibilities

• Design, develop, and deploy robust machine learning models for fraud detection and prevention.
• Enhance and optimize existing device intelligence and behavioral biometrics systems.
• Collaborate with cross-functional teams to integrate ML solutions into our platform.
• Research and implement cutting-edge ML/AI techniques to improve model performance and accuracy.
• Monitor, evaluate, and maintain ML models in production, ensuring high availability and reliability.

Requirements

• Proven experience as a Machine Learning Engineer, preferably in a fraud prevention or fintech environment.
• Strong programming skills in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Solid understanding of machine learning algorithms, data structures, and system design.
• Experience with data processing, feature engineering, and model evaluation.
• Must reside in Brazil, specifically in São Paulo (São Paulo, Campinas, São José dos Campos), Rio de Janeiro (Rio de Janeiro), Minas Gerais (Belo Horizonte), Paraná (Curitiba), or Santa Catarina (Florianópolis).

Role Impact & Work Environment

This is a full-time, remote position within Brazil, offering the flexibility of a remote-first culture. You will contribute directly to a platform that protects over 300 banks, retailers, and fintechs worldwide from identity and payment fraud. We value performance and empower talented, self-motivated individuals with extreme ownership.