Staff Machine Learning Engineer - Remote

Overview

As a Staff Machine Learning Engineer at Trustly, you will play a pivotal role in driving the model development and production lifecycle, collaborating with various teams to implement machine learning models for assessing transactional risk and fraud.

In Short

• Design data-architecture flow for real-time model endpoints.
• Engineer domain-specific features to enhance model performance.
• Build pipelines for deploying machine learning models in production.
• Implement systems to monitor model performance and health.
• Design scalable architectures for real-time and batch solutions.
• Conduct research on novel approaches in ML engineering.
• Mentor junior Machine Learning Engineers and contribute to team decision-making.
• Collaborate with fraud analysts and product teams on ML solutions.

Requirements

• Bachelor’s or Master’s degree in CS/Engineering/Data Science.
• Substantial experience in Data Science/Machine Learning engineering.
• Proficiency in Python, Scala, or Java.
• Experience with SQL and NoSQL database solutions.
• Experience in AWS cloud services.
• Hands-on experience with CI/CD pipelines and MLOps platforms.
• Experience in implementing online inference systems.
• Proficiency in Docker and Kubernetes.
• Fluency in English.

Benefits

• Health and dental plan for you and your dependents.
• Life insurance with differentiated coverage.
• Meal and supermarket vouchers.
• Home Office Allowance.
• Access to physical activities and online classes.
• Discounts at educational institutions and partner stores.
• Flexible hours and remote work options.
• Annual bonus based on performance.