The Machine Learning Engineer (After-sales Experience) will develop and optimize machine learning models for after-sales scenarios and collaborate with product, operations, and engineering teams to translate algorithmic capabilities into scalable production systems.
Requirements
- Bachelor's degree or above in Computer Science, Statistics, Mathematics, or related fields
- At least 1 year of experience in machine learning, recommendation systems, risk control, or related algorithm domains
- Solid understanding of machine learning and deep learning fundamentals
- Proficient in Python and familiar with at least one of Go/C++ under Linux development environment
- Strong analytical thinking and problem-solving skills