Description

Rakuten Card is revolutionizing payment systems by seamlessly integrating credit cards, e-money, web transactions, and mobile apps into everyday life. With a proud membership base exceeding 25 million, we have consistently led the industry, achieving the highest credit card handling volume in Japan for four consecutive years.

We are driven by our ambitious 'Triple 3' goal: issuing 30 million credit cards, reaching a shopping handling volume of 30 trillion yen, and capturing a 30% share of the credit card industry. Our relentless pursuit of these targets underscores our dedication to innovation, customer satisfaction, and market leadership.

We are looking for talented individuals to join our forward-thinking team at Rakuten Card, where we are actively shaping the future of payments. Be a part of a dynamic team that is committed to achieving extraordinary milestones and delivering exceptional value to our customers.

Department Overview

The System Department is the backbone supporting our expanding services, catering to growing membership and transaction volumes. This department manages a wide array of systems, including card payment, credit management, Rakuten e-NAVI, Rakuten Card applications, and call center systems.

Position:

Machine Learning Engineer

The Technology Incubation Group at Rakuten Card is dedicated to leveraging cutting-edge technology to solve complex problems and deliver exceptional products and services. We are seeking a highly skilled and experienced Machine Learning Engineer to join our dynamic team.

Job Responsibilities

Design, develop, and deploy machine learning models and algorithms that power our products and services. Collaborate closely with cross-functional teams to create scalable and efficient machine learning solutions.

Mandatory Qualifications

• Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
• 5+ years of experience in machine learning, data science, or a related field.
• Strong proficiency in programming languages such as Python, R, or Java.
• Extensive experience with machine learning frameworks and libraries.
• Proven track record of designing and deploying machine learning models in a production environment.
• Solid understanding of statistical methods, data analysis, and data preprocessing techniques.
• Experience with big data technologies and tools.
• Familiarity with cloud platforms and containerization technologies.
• Excellent problem-solving skills and the ability to think critically and creatively.
• Strong communication and collaboration skills.

Estimated Salary: ¥10,000,000 - ¥20,000,000 per year