Key Responsibilities
1、Design, build deploy AI/ML models fuse cases such as production scheduling, dispatch optimization, predictive maintenance quality forecasting.
2、Work cross-functionally with Production, IT, Equipment Process teams to establish robust data pipelines end-to-end intelligent solutions.
3、Implement model-performance monitoring continuous-improvement loops to guarantee stability, explainability scalability.
REQUIRED:
1、Bachelor’s degree above in Computer Science, Automation, Industrial Engineering, Operations Research related field; Master’s preferred
2、2+ years hands-on experience applying AI/ML in manufacturing; familiar with scheduling algorithms (e.g.,-Tools, CP-SAT, reinforcement learning).
3、Proficient in Python/C++; experienced with TensorFlow/PyTorch/Scikit-learn; comfortable with SQL, time-series databases big-data platforms.
4、Solid programming skill in either C# JAVA
5、Solid understanding of MES, ERP APS interfaces; background in semiconductor, with programming experience with PLC is a plus.
6、Strong problem-solving communication skills
PREFERRED:
1、English proficiency is preferred
2、Project management experience is a plus
更新于 2026-01-26
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崗位職責(zé): 1. 負(fù)責(zé)軟件系統(tǒng)的部署、配置、調(diào)試及客戶現(xiàn)場(chǎng)實(shí)施; 2. 客戶需求分析,制定實(shí)施方案并推動(dòng)項(xiàng)目落地; 3. 解決系統(tǒng)實(shí)施中的技術(shù)問題,提供用戶培訓(xùn)和售后支持; 4. 編寫實(shí)施過程相關(guān)文檔,工期規(guī)劃、需求分析、操作手冊(cè)及驗(yàn)收?qǐng)?bào)告等。 任職要求: 1.熟練掌握Python,了解常用庫和框架(如Django、Flask、NumPy、Pandas等)。 2.熟悉數(shù)據(jù)庫操作(如MySQL、PostgreSQL、MongoDB等)。 3.熟練配置和使用主流操作系統(tǒng)(Win2003、Win2008、Win2012,LINUX)和數(shù)據(jù)庫(Oracle, SQL Server,Mysql、達(dá)夢(mèng)) 4.熟練使用常用的SQL語句(增刪改查) 5.大專及以上學(xué)歷。
更新于 2026-04-16
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