- 機器學習,影像辨識, 自然語言等相關應用開發經驗
- tensorflow, caffe, keras, darknet等相關框架使用經驗尤佳
1. AI Engineer is responsible for understanding the business problems, identifying/applying right AI or cognitive computing technologies to solve problems and involving in formulation and execution of technologies recipes for commercial deployment.
2. Understand the business problem, challenge of existing technologies and areas of application for AI technologies.
3. Developing Data cleaning, Data preprocessing, feature engineering, modeling and so on.
4. Identify and choose right AI or cognitive computing technologies for solving problems and formulate AI recipes for development.
5. Develop required machine learning models or prototype applications applying formulated AI recipes and verify the problem/solution fit.
6. Involve in development of AI Platform and AI projects.
1. Master’s Degree in Computer Science, Information Systems, or other related fields.
2. Minimum 2 years application development experience in machine learning, building, deploying, and supporting software applications and services
3. Proficient in Python, C++, or equivalent languages
4. Proficiency in English writing, listening, reading and speaking.
5. Phenomenological analysis/ systematic approach
6. Organizational and communication skill
7. Basic statistic knowledge & methodology
8. Be able to prioritize and handle multiple projects.
9. Comfortable to work with many people
10. Comfortable with confrontation
12. Open minded
13. Good interpersonal skills
[上班地點]： 台南. 新竹. 台北. 新北