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Machine Learning Engineer for Agentic AI Scalable Path. OVERVIEW:. A client of Scalable Path is expanding its educational web application into the private sector, and it needs help improving the quality and performance of its existing application. This involves creating automated tests, implementing logging, and improving the dev team's practices.. A core challenge they are facing is getting their Unity 3D WebGL application that runs well on desktop to work reliably on Android and iOS. Specific examples include stabilizing a 3rd party whiteboard feature that is not working properly and getting the application to run consistently in browsers on modern versions of the iPhone and iOS.. The application uses Spring Boot on the back-end and React on the front-end. Additionally they are using OpenVidu and WebRTC.. If you have experience with the back-end technologies mentioned above, that would be nice, but their core need is a strong React developer who is experienced with state management and real-time applications.. The client is a Canadian company that has an existing web application that helps young students learn French as a second language..  . They use Jira for project management..  . DUTIES AND RESPONSIBILITIES:. - Attend daily scrum. - Consult with management on operational requirements. - Build new features in the front-end and back-end. - Debug and fix issues with existing application. - Refactor, optimize and simplify code to performance and readability. - Break down systems into smaller, modular components to improve scalability and flexibility. - Write automated tests. - Implement bug and performance monitoring. - Mentor junior developers and perform code reviews. - Implement best practices with the dev team.  . START DATE:.  As soon as possible..  . EXPECTED CONTRACT DURATION:.  12+ months.  . REQUIRED SKILLS:. - English (Must have). - Python (Must have). - Machine Learning (Must have). - TensorFlow (Strongly preferred). - Vector Databases (Must have). - Google Cloud (Nice to have). - PyTorch (Strongly preferred). - JAX (Strongly preferred)