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4-6 years
6-10 years
10-15 years
More than 15 years
Data Engineer @Groundhog Technologies Inc.2021 ~ 2024
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
University of Illinois at Urbana-Champaign, School of Information Sciences
・
Information Management
Past
Service Provider @Taron Solutions Limited2023 ~ 2023
・
AI工程師、機器學習工程師、電腦視覺工程師、資料科學家、Machine Learning Engineer、Computer Vision Engineer、Data Scientist
Within one month
型 side project 使用深度學習框架(Pytorch)自行搭建預測模型，以各式台灣景氣指標當作輸入，輸出未來經濟景氣趨勢階段。 技術：Pytorch、Pandas、Numpy、 Sklearn 論文發表 • Chen, X. Z., Li, M. C. , & Chen, Y. L, January). Strategies for Helping Anchor-Based Trackers Learn re-ID Features for Smart City Surveillance. In 2024 IEEE International Conference on Consumer Electronics (ICCE) (ppIEEE. • Li, M.
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立臺北科技大學
・
資訊工程
Data Analyst & IoT Software Developer @FARAZ ERTEBAT2021 ~ Present
・
Computer Vision / Deep Learning
Within one month
Sayed Mohammad Ahmadi Python Developer | Deep Learning | Computer Vision Specialist | C++ & C# Developer | Lifelong Learner | 7+ Years of Experience Qom, Qom Province, Iran I am a Python Developer with expertise in Deep Learning and Computer Vision, backed by 7+ years of experience. Skilled in C++ and C# as well, I develop robust solutions that encompass various programming paradigms. Passionate about staying up-to-date with the latest advancements, I excel at leveraging AI and computer vision techniques to derive valuable insights from visual data. I have successfully applied my
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
University of Qom
・
Information Technology | Face Recognition
Past
機器學習工程師 @順豐科技公司 2021 ~ 2022
・
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
和集群運行原理 ，與 Hive、 Presto組件 ，熟練掌握SQL語言編寫與模型落地，具有其調優經驗 ； 熟練使用Python與Pyspark， 熟練 使用RDD算子與Spark SQL、Sklearn等，進行機器學習與數據分析 ； 熟練使用Git與Docker，能進行YAML、Dockerfile編寫與CICD部署流程、搭建RESTful API等 ； 熟練使用 Tableau 與 Power BI ，熟練使用
Unemployed
Full-time / Interested in working remotely
4-6 years
國立政治大學（National Chengchi University）
・
統計系
AI 工程師 @台灣塑膠工業股份有限公司2020 ~ Present
・
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within six months
Selenium Cloud Microsoft Azure Azure TSI Azure Power BI Azure ML Azure App Service Azure Form Recognizer Azure Cognitive Services Google Cloud Platform Google Cloud GPU Google Cloud VM Google Cloud AutoML Google Cloud Vision API Other Cloud Source Heroku App Service Line Bot ML/AI AI Tool TesnsorFlow SKlearn Keras Matlab OpenCV Algorithm Principal Component Analysis Partial Least Squares Gaussian Process Deep Neural Networks Convolutional Neural Networks Genetic Algorithm Other Application Reinforcement Learning Object Detection Faster RCNN Yolo v3 Generative Adversarial Networks Experience 台灣塑膠工業(FPC) - AI Engineer - Sept~ present 1. AI應
Employed
Full-time / Interested in working remotely
4-6 years
Chung Yuan Christian University
・
Master in Chemical Engineering
人工智慧工程師 @玉山銀行智能金融處 (Intelligent Finance Dept., E-SUN Bank )2020 ~ Present
・
Machine Learning Researcher / Engineer
Within one month
Jeffrey Lin ( 林奕勳 ) ESUN Bank, Intelligent Finance Technology Department, AI Engineer focusing on Enterprise-Level ML Frameworks and Design Patterns [email protected] TW, Taipei CAREER SUMMARY 6+ years of deep learning research and development experience, with a strong ability in prototyping, evaluation, and deployment of models, in both academical and industrial environment. 2+ years of financial AI development experience, specialized in the design of python API, SDK, and framework for optimizing the deployment flow of data science, ETL, and machine learning pipelines. 1+ year of participation in the technology management
Employed
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
Graduate Institute of Communication Engineering
Data scientist
Within three months
理解不同的領域知識便於進行分析 金融商品分析、個股交易、選擇權、期貨交易、加密貨幣交易經驗 Skill Web Crawling Python Data Mining Python - numpy, pandas, missingno, sk-learn Weka Machine Learning Python - Logistic regression, Decision Trees, Random forest, GridSearchCV Game Design Game Development Game Design User Experience Design Market Research Project Management Others MySQL Linux, Hadoop, Spark, Pyspark HTML, Java script Jira, Teambition Work Experience Daohe Ltd. Producer ，2021//12 Genetopia（休閒
Full-time / Interested in working remotely
10-15 years
MCU
・
統計系Data Scientist/ Engineer @Intomarkets2022 ~ Present
・
Data Scientist
More than one year
Full-time / Interested in working remotely
6-10 years
University of Paderborn
・
Master of Science in Computer
Senior Machine Learning Engineer @C-Media Electronics2020 ~ 2021
・
Machine Learning Scientist, Data Scientist
Within one month
Hao-Chun (Chad) Yang Ph.D Ph.D Graduate @NTHU (EE) | Seeking AI/ML R&D Position | Speech, IOT, Health Informatics, Computational Neuroscience | pytorch, tensorflow Room 315, General Building III, No. 101, Section 2, Kuang-Fu Road,Hsinchu City, Taiwan Skills Programming Programming: Python, Matlab DevOps: AWS, GCP, Git, Docker Deep Learning: Pytorch, Tensorflow, Keras ML& Data Science: Sklearn, Numpy, Pandas, Matplotlib MLOps: MLflow, W&B Special HonorsBest Challenge Poster - Physionet/CINC ChallengeTravel Grants - IEEE SPS SocietyPresident Scholarship - NTHU Education National Tsing Hua University Ph.D. in Electrical Engineering (SepPresent) National Tsing
In military service
Full-time / Interested in working remotely
4-6 years
清華大學
・
電機工程Employed
・
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
成功大學
・
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Definition of Reputation Credits
Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
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Within one month
Semiconductor Advanced Process Data Engineer & Scientist
MediaTek Inc.
・
2019 ~ Present
Professional Background
Current status
Employed
Job Search Progress
Professions
Data Engineer, Data Scientist, Big Data Engineer
Fields of Employment
Big Data
Work experience
4-6 years
Management
I've had experience in managing 1-5 people
Skills
Languages
Chinese
・
Native or Bilingual
English
・
Intermediate
German
・
Beginner
Job search preferences
Positions
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Job types
Full-time
Locations
Taipei, 台灣
Remote
Interested in working remotely
Freelance
No
Educations
School
National Chiao Tung University
Major
Computer Science
Lea Yeh / 葉美伶
現任聯發科技公司 | AI & Big Data 部門 | 半導體先進製程 | 資料科學家
業務橫跨公司成本控管及晶片開發，開發 PB-level 資料從 data integration 到 machine learning 的所有環節，能快速分析巨量資料，並從資料源頭提升 prediction model 表現。
- Data Science,
- 透過 machine learning model 改善控制手機溫度控制機制，降低溫度誤差 < 1C
- 協助晶片開發者降低 20% 功耗，提升手機效能 14K Antutu score
- 開發 BI Dashboard 分析 EDA tool 使用狀況，降低 25% 採購成本
- Data Engineer,
- 建立結構化資料和非結構化資料之 automating data pipelines
- 設計 PB-level 資料 ETL 流程並引入阿里巴巴 data warehouse 分層設計
- 建立資料品質 realtime 監控機制，資料缺失率 50% 降低到 <1%
工作經歷
Data Engineer / Scientist
MediaTek Inc. • 2019/07 - Present
協助晶片設計提升產品效能
- 透過 regression model 改善控制手機溫度控制機制，溫度誤差 < 1C
- 透過 unsupervised learning 精確分貨，多救回過去誤分的 5% 高階晶片
- 建立 PB-level data warehouse 降低 20% 功耗並提升手機效能 (14K Antutu Score)
協助晶片開發掌握新製程特性
- 透過 Plotly/Dash 進行數據分析，協助晶片開發人員縮短開發時間 50%
- 於 BigQuery 透過數倉分層設計及優化 SQL 提升 70% 效能
建立雲端分析管道
- 透過 NiFi, Airflow, Dataflow, BigQuery 設計 ETL 流程
- 在公司數位轉型初期，引入阿里巴巴數據中台理論的數據分層設計，提升資料表重用率
- 建立資料品質實時監控機制，資料缺失率 50% 降低到 <1%，每個月降低人力成本 7.5man-day
進行 EDA License 及 Computing Farm 成本控管
公司三大成本: EDA License, Computing Farm, 人力
- 透過 Splunk 建立互動式 BI Dashboard，輔助 EO 採買決策，減少 25% 採購成本
- 提升 11% 整體 EDA license 使用率，19% EDA temp license 使用率
能跨部門協調獨立作業，並帶領團隊完成專案
- 深獲合作部門肯定，於 2021 獲得 15 個跨部門 vAward
- 為公司節省巨額採購成本，於 2020 獲得 IT 年度獎
Software Engineer
MediaTek Inc. • 2016/09 - 2019/07
開發 Modem Log 相關除錯及分析工具
- 以 Vue.js 搭配 Electron 建立 World Wide Field Frial Upload Tool
- 結合 Python 及 Jenkins 開發 ICD DMS 達到自動化以文件規範實作
- 透過 AngularJS 開發 StackOverflow-like QA 平台
技能
Programming Skills
Python, SQL, SPL, NodeJS, HTMK, CSS, Git, CI/CD
- 8 年以上 Python 編程經驗，嚴格遵守 PEP8 coding style 規範，追求高效優雅 pythonic 開發
- 3 年 SQL 及 SPL 開發經驗，力求優化查詢效能
- 2 年網頁後端開發經驗，貢獻 CDNJS 大型開源專案 (9.4K stars)
Machine Learning Skills
Sklearn, Numpy, Pandas, Scipy, seaborn, shap value, xgboost, random forest, linear regression, feature engineering, high dimension clustering (fit JD key word)
Data Engineering & Analysis Skills
Airflow, NiFi, Dataflow, BigQuery, Cloud Function, Plotly/Dash, Splunk
Cloud Platform
GCP: Cloud Function, Dataflow, Composer, BigQuery
學歷
2014 - 2016
National Chiao Tung University
Computer Science - Data Mining Lab
2011 - 2014
Tatung University
Computer Science
Lea Yeh / 葉美伶
現任聯發科技公司 | AI & Big Data 部門 | 半導體先進製程 | 資料科學家
業務橫跨公司成本控管及晶片開發，開發 PB-level 資料從 data integration 到 machine learning 的所有環節，能快速分析巨量資料，並從資料源頭提升 prediction model 表現。
- Data Science,
- 透過 machine learning model 改善控制手機溫度控制機制，降低溫度誤差 < 1C
- 協助晶片開發者降低 20% 功耗，提升手機效能 14K Antutu score
- 開發 BI Dashboard 分析 EDA tool 使用狀況，降低 25% 採購成本
- Data Engineer,
- 建立結構化資料和非結構化資料之 automating data pipelines
- 設計 PB-level 資料 ETL 流程並引入阿里巴巴 data warehouse 分層設計
- 建立資料品質 realtime 監控機制，資料缺失率 50% 降低到 <1%
工作經歷
Data Engineer / Scientist
MediaTek Inc. • 2019/07 - Present
協助晶片設計提升產品效能
- 透過 regression model 改善控制手機溫度控制機制，溫度誤差 < 1C
- 透過 unsupervised learning 精確分貨，多救回過去誤分的 5% 高階晶片
- 建立 PB-level data warehouse 降低 20% 功耗並提升手機效能 (14K Antutu Score)
協助晶片開發掌握新製程特性
- 透過 Plotly/Dash 進行數據分析，協助晶片開發人員縮短開發時間 50%
- 於 BigQuery 透過數倉分層設計及優化 SQL 提升 70% 效能
建立雲端分析管道
- 透過 NiFi, Airflow, Dataflow, BigQuery 設計 ETL 流程
- 在公司數位轉型初期，引入阿里巴巴數據中台理論的數據分層設計，提升資料表重用率
- 建立資料品質實時監控機制，資料缺失率 50% 降低到 <1%，每個月降低人力成本 7.5man-day
進行 EDA License 及 Computing Farm 成本控管
公司三大成本: EDA License, Computing Farm, 人力
- 透過 Splunk 建立互動式 BI Dashboard，輔助 EO 採買決策，減少 25% 採購成本
- 提升 11% 整體 EDA license 使用率，19% EDA temp license 使用率
能跨部門協調獨立作業，並帶領團隊完成專案
- 深獲合作部門肯定，於 2021 獲得 15 個跨部門 vAward
- 為公司節省巨額採購成本，於 2020 獲得 IT 年度獎
Software Engineer
MediaTek Inc. • 2016/09 - 2019/07
開發 Modem Log 相關除錯及分析工具
- 以 Vue.js 搭配 Electron 建立 World Wide Field Frial Upload Tool
- 結合 Python 及 Jenkins 開發 ICD DMS 達到自動化以文件規範實作
- 透過 AngularJS 開發 StackOverflow-like QA 平台
技能
Programming Skills
Python, SQL, SPL, NodeJS, HTMK, CSS, Git, CI/CD
- 8 年以上 Python 編程經驗，嚴格遵守 PEP8 coding style 規範，追求高效優雅 pythonic 開發
- 3 年 SQL 及 SPL 開發經驗，力求優化查詢效能
- 2 年網頁後端開發經驗，貢獻 CDNJS 大型開源專案 (9.4K stars)
Machine Learning Skills
Sklearn, Numpy, Pandas, Scipy, seaborn, shap value, xgboost, random forest, linear regression, feature engineering, high dimension clustering (fit JD key word)
Data Engineering & Analysis Skills
Airflow, NiFi, Dataflow, BigQuery, Cloud Function, Plotly/Dash, Splunk
Cloud Platform
GCP: Cloud Function, Dataflow, Composer, BigQuery
學歷
2014 - 2016
National Chiao Tung University
Computer Science - Data Mining Lab
2011 - 2014