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。

1. ML 架構設計與決策
2. ML 模型開發 / 改善 /維運
3. 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.

1. Master data analysis/cleansing and other data science technologies to understand data and design model architecture.
2. Identify and select AI/ML technologies to solve problems.
3. Deploy and integrate AI ​models into back-end servers and build up front-end interfaces.
4. Work with AI team members to build up AI or ML MVP prototypes for idea validation
5. Implement and deploy successful AI models
6. Maintain and optimize existing AI models to achieve better results, such as lower resource usage and better performance
7. Stay up to date in current technologies and state of the art methods for in house application.
8. Collect and arrange specialized data for training and validation purposes

Requirements:

1. Degree in computer science or statistics
2. At least 1-year experience of Python development
3. At least 1-year experience of AI development; familiar with at least one AI/ML Framework, ex: Keras
4. Passionate about researching AI, familiar with new AI/ML technologies
5. Deep experience in Artificial Intelligence and machine learning.
6. Thrive in an agile development process
7. Look forward to joining a high-caliber team of machine learning experts.
8. You’re self-driven and set high expectations for yourself
9. You take ownership and sweat the small stuff
10. You thrive on constructive feedback
11. You insist that facts drive decisions
12. You deliver results that matter
13. Sharp, motivated co-workers in a fun office environment.
14. Able to communicate freely in both English and Mandarin with your team.

Familiar with:

1. Machine Learning/Artificial Intelligence
2. Data mining
   Deep learning, artificial neural network
3. Tree search techniques
4. Reinforcement learning
   
5. Game theory
6. Robotic process automation (RPA) workflow automation

【必要條件】

1. 打造企業內 ML 系統經驗，並且有使用在商業產品上
2. 熟悉任一 ML OpenSource 工具，如 TensorFlow
3. Git
4. Testing
5. CI/CD

【加分條件】

1. 熟悉任一程式語言 (e.g., C#, Python, C++)
2. Spark
3. container

我們希望你是一位

1. 積極負責、主動貢獻、持續學習的人
2. 對 ML 工作抱有高度熱忱
3. 具備積極負責、主動貢獻的工作態度
4. 具備良好的溝通、團隊合作能力
5. 樂於學習分享、持續接受新知
6. 具備勇敢嘗試的實驗精神

【申請流程】