Machine Learning Engineer in Financial Services

You will help develop financial services using AI and machine-learning technologies. You will participate from business requirements definition and prototyping through product development, define software and machine-learning quality requirements, establish development practices, conduct code reviews and testing, and improve MLOps maturity.

Responsibilities

  • Develop financial services using machine-learning technologies
  • Collaborate with engineers and data scientists on productization
  • Participate in business requirements definition and Jupyter-based prototyping
  • Guide projects toward the main product-development phase from a machine-learning engineering perspective
  • Define software and machine-learning system quality requirements
  • Set team development policies
  • Promote code reviews and testing
  • Establish development practices that improve efficiency and quality
  • Improve MLOps maturity across PayPay

Requirements

  • Product development experience using Python
  • Team development experience using package management, testing tools, and linters
  • Experience using major data-processing and machine-learning libraries
  • Experience or knowledge of MLOps
  • Experience designing ML pipeline architectures
  • Knowledge of workflow engines, particularly ML system workflow management
  • Development experience using cloud services
  • Ability to communicate in Japanese
  • Experience contributing to machine-learning libraries or open-source software
  • Experience developing internal MLOps platforms
  • Team leadership experience with approximately 5 to 10 or more people
  • Research or reproduction implementation experience in machine learning or data science
  • A degree in data science or computer science
  • Business English

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

See also

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