Remote Machine Learning Engineer

Summary

The job description is for a Machine Learning Engineer position at PayPay, a FinTech company. The role involves developing credit ML models and systems, collaborating with other teams, and utilizing various cloud platforms. The ideal candidate has 3+ years of experience in the banking or FinTech industry.

Requirements

• 3+ years of professional experience, particularly in developing and implementing credit ML models or systems within the banking or FinTech industry
• Educational background in Computer Science, Engineering, Mathematics or related field
• Good understanding of supervised and unsupervised learning, deep learning, reinforcement learning, and ensemble methods
• Proficiency in Python, PostgreSQL, Java/Scala
• Strong knowledge of database management systems (e.g., MySQL, PostgreSQL), data wrangling, feature engineering, ETL processes, and SQL databases
• Familiarity with tools such as Apache Spark
• Experience with Docker, Kubernetes, and cloud platforms (AWS preferred). Knowledge of MLOps practices
• Expertise in TensorFlow, PyTorch, Keras, scikit-learn, and XGBoost
• Proficiency with Jupyter Notebooks, Git, Jenkins, Apache Spark, and Hadoop

Responsibilities

• Design and implement credit ML models and systems, ensuring robust and scalable solutions
• Develop end-to-end ML pipelines for credit modeling, including data collection, preprocessing, model training, and deployment
• Collaborate with data scientists and software engineers to integrate ML models into production environments, enhancing lending systems

Preferred Qualifications

English language only is welcome! Japanese bilingual ideal

Benefits

• Employment Status: Full Time
• Office Location: WFA(Work From Anywhere at Anytime) / Remote Job
• Work Hours: Super Flex Time (No Core Time), In principle, 10:00am-6:45pm (actual working hours: 7h45m + 1h break)
• Holidays: Every Sat/Sun/National holidays (In Japan)/New Year's break/Company-designated Special days
• Paid leave. - Annual leave (up to 14 days in the first year, granted proportionally according to the month of employment. Can be used from the date of hire) - Personal leave (5 days each year, granted proportionally according to the month of employment)
• Salary: Annual salary paid in 12 installments (monthly), Based on skills, experience, and abilities, Reviewed once a year, Special Incentive once a year *Based on company performance and individual contribution and evaluation, Late overtime allowance, Work from anywhere allowance (JPY100,000)
• Benefits: Social Insurance (health insurance, employee pension, employment insurance and compensation insurance), 401K, Translation/Interpretation support, VISA sponsor + Relocation support