Teams at Easygo

Design, implement, and maintain high-quality, well-tested mobile features; contribute to architecture and platform standards; collaborate with product, UX, and backend teams; improve crash-free rates and release predictability; respond to incidents and participate on-call; mentor peers and lead feature delivery from design to production.

As a Senior MLOps Engineer, you will enhance ML operations by designing and maintaining infrastructure, implementing CI/CD pipelines, and collaborating with data scientists to streamline workflows.

The Senior Data Scientist will lead machine learning projects, mentor juniors, and architect scalable solutions, impacting millions of users globally.