Senior Machine Learning Engineer in Financial Services

PayPay seeks a senior machine-learning engineer to lead model development and AI system architecture across credit, risk management, fraud detection, marketing, and related financial services. The role combines mathematical and statistical expertise with product integration, technical leadership, and MLOps operations.

Responsibilities

• Design and develop credit, risk-management, and marketing models
• Define business requirements and select suitable prediction models
• Design AI and machine-learning system architectures and quality requirements
• Integrate models safely into products and business processes
• Lead development direction, code reviews, and testing strategies
• Collaborate with engineers, data scientists, and data analysts
• Improve MLOps architecture for training, evaluation, monitoring, and continuous improvement
• Drive operational improvements across financial-services machine-learning systems

Requirements

• Advanced expertise in AI, machine learning, mathematical engineering, or mathematical statistics
• Approximately three years of practical experience developing and operating machine-learning prediction models
• Experience with credit scoring, risk management, fraud detection, marketing optimization, or user behavior prediction
• Experience defining machine-learning system quality requirements
• Experience leading end-to-end system architecture design and product or process integration
• Team software development and leadership experience using Python or similar technologies
• Financial or payments experience
• PhD in mathematical engineering, statistics, computer science, or a related field
• Experience with large-scale data-processing pipelines on GCP, AWS, or similar cloud environments
• Experience introducing or operating MLOps platforms such as Kubeflow or MLflow
• Experience leading teams of approximately 5 to 10 people

Benefits

• Hybrid workstyle
• Super flextime with no core hours
• Annual paid leave of 14 days in the first year
• Personal leave of 5 days annually
• Health insurance
• Employees' pension insurance
• Employment insurance
• Workers' compensation insurance
• Corporate defined-contribution pension plan