研究並實作最新的機器學習與統計相關模型,加以修改、調教和驗證後,應用於產品上,去解決使用者問題。
- ML 架構設計與決策
- ML 模型開發 / 改善 /維運
- 資料分析
Work with team members to develop and implement AI projects. Research, test, review, provide feedback, create AI/ML/RPA-related projects.
- Master data analysis/cleansing and other data science technologies to understand data and design model architecture.
- Identify and select AI/ML technologies to solve problems.
- Deploy and integrate AI models into back-end servers and build up front-end interfaces.
- Work with AI team members to build up AI or ML MVP prototypes for idea validation
- Implement and deploy successful AI models
- Maintain and optimize existing AI models to achieve better results, such as lower resource usage and better performance
- Stay up to date in current technologies and state of the art methods for in house application.
- Collect and arrange specialized data for training and validation purposes