1. Work closely with equipment-developing engineers and internal users to identify opportunities and assess improvements for the manufacturing equipments.
2. Understand technical challenges and transform problems into mathematical frameworks.
3. Deliver in-depth machine learning expertise to support the team, prototype analysis pipelines to provide insights, and implement complete solutions with efficiency and effectiveness.
4.Currently for this position, 60％ focused on data/system integration and 40％ focused on pure data exploration.

工作經驗：2~3年以上
學歷限制：碩士`博士
科系限制：一般數學學類、電算機一般學類、電子工程學類、電機工程學類、數理統計學類
電腦專長：C#、Matlab、Python、MS SQL
附加條件：1. Academic degree in a quantitative field or at least 2 years of equivalent practical experience.
2. Proven experience in finding insights from data based on analytical approaches (e.g. Statistics, Machine Learning, Operation Research, Optimization, or any other AI related knowledge) and developing software tools with intelligent decision-making functions.
3. Expertise in programming using Python or other equivalent languages for data engineering and system integration.
4. Exposure to analytical applications in manufacturing field such as Machine Vision, R2R, AVM, PHM, and FDC would be a plus.
5. Exposure to SLAM and control systems would be a huge plus.
6. Pragmatic approach to solving issues.
7. Be creative, responsible, and serious about your deliverables.
持有「數位人才探索計畫」相關證照申請者有優先面試機會（Google Analytics 4 學程，詳情請洽Google 數位人才探索計畫網站）
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