AI Development Engineer – Data Intelligence Department, Rakuten Bank, Ltd.
Core
Build and operate machine learning models for banking applications like asset management, exchange rate prediction, and customer call forecasting, while developing data infrastructure and fostering a data-driven culture.
Role type
Senior Machine Learning Engineer (Data Intelligence)
Builds
Production ML models for banking decisions, in-house BI tools, and data analysis platforms
Domain
Fintech / Banking / Data Science
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Machine learning model development and deployment, Python, large-scale data processing (hundreds of millions of records), Linux environment, statistics (probability, Bayesian inference, regression), calculus, linear algebra, public cloud design (AWS/Azure)
Preferred skills
Banking industry experience, large-scale web application development, web access data analysis, BI tool usage (Tableau/Power BI), Auto ML tools, ETL/ELT
Technologies
Python, AWS, Microsoft Azure, Linux, Tableau, Power BI, Auto ML
Responsibilities
Build prediction and evaluation models using machine learning for various banking scenarios; Develop data infrastructure and BI tools to enable cross-departmental data usage; Perform multifaceted data analyses to support front-office decision-making and propose new services
Seniority
Senior, hands-on IC
