Machine Learning Engineer - Jobs via Dice

This opportunity is ideal for an engineer who enjoys working on mission-critical decision infrastructure and wants to deepen expertise in fraud prevention, credit risk, and underwriting technology. Key Responsibilities Develop and maintain backend services supporting credit risk and fraud decision workflows Deploy and operate production scoring systems, automated decision rules, and predictive models Ensure reliability, performance, and observability of underwriting-related services Troubleshoot production issues that impact decision accuracy or service uptime Partner with data scientists to safely transition analytics into scalable production systems Improve architecture for scalability, resilience, and operational robustness Implement monitoring and alerting for system health and decision outcomes Collaborate across risk strategy, engineering, and operations teams to deliver real-time decisions Build deep expertise in underwriting and fraud decision infrastructure Required Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or a related technical field 3+ years of experience in backend, platform, or systems engineering 2+ years supporting deployment and operation of machine learning systems in production Strong experience building Python-based APIs and service frameworks Familiarity with cloud infrastructure (AWS preferred) including deployment, scaling, and monitoring Understanding of software engineering best practices: CI/CD, testing, version control, documentation Proficiency in Python and SQL with experience across the ML deployment lifecycle, especially monitoring and iteration Strong debugging skill...