Staff Machine Learning Engineer

Trustly, a global leader in Pay by Bank solutions, is seeking a Staff Machine Learning Engineer to join their Data Science team. This role is crucial in driving the model development/production lifecycle, focusing on implementing ML models for assessing transactional risk and fraud. The position offers a unique opportunity to work with a company that processes over $58 billion annually across 33 countries, connecting 9,000 merchants to 650 million consumers through 12,000 banks.

The ideal candidate will collaborate with Data Scientists, MLOps, and DataOps teams to implement and optimize ML models, create robust machine learning inference systems, and establish efficient workflows. Key responsibilities include designing data-architecture flows, engineering domain-specific features, building production pipelines, and implementing monitoring systems for model performance.

The role offers a comprehensive benefits package including health and dental coverage, flexible remote work options, and professional development opportunities. Trustly maintains a strong commitment to diversity and inclusion, welcoming talent from all backgrounds. The company's 'work from anywhere' policy within Brazil provides flexibility while maintaining connection to their global team.

This position is perfect for someone with strong technical skills in Python, Scala, or Java, experience with AWS cloud services, and expertise in machine learning modeling. The role requires both technical excellence and collaborative skills, as you'll be working closely with various teams to translate business requirements into ML solutions while mentoring junior engineers.