CakeResume 找人才
進階搜尋
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
4 到 6 年
清華大學
・
動力機械工程學系
Director, Lab of next-generation sequencing @Stork Fertility Center2018 ~ 現在
・
RD
三個月內
檢驗資料庫: 自動化LIS 2019 KPI系統: 胚胎實驗室、分生實驗室 2018 臨床資料庫: 電子化 醫學發表 https://orcid.org/臨床療程 Using an Interpretable Machine Learning Model to Predict Corifollitropin Alfa Protocol. Fertility & Reproduction. 2023;5:Lai HH, Kuo EE, Li RS, Chuang TH , Huang YC, Hsieh JY, Chang TA, Huang YL, Hsieh WT, Su YR, and Liu M. (醫療AI模型) A Patient Friendly Corifollitropin Alfa Protocol without
就職中
・
目前會考慮了解新的機會
全職 / 暫不考慮遠端工作
10 到 15 年
National Taiwan University
・
canditate, Graduate institute of Clinical medicine
Software Engineer / Backend Engineer
三個月內
薦中原夜市美食為例 大學 中原大學 資訊工程學系 專題: Android 能源管理機制 - 獲得當年度中原大學專題競賽第一名 線上課程 Machine Learning by Prof. Andrew Ng in Coursera 作品 鄉民查水表：整合 Ptt 使用者資訊，快速查 IP、近期發推文及分身帳號 iOS App 開發 - TaiMall台茂購物中心 技
待業中
全職 / 對遠端工作有興趣
6 到 10 年
中原大學 Chung Yuan Christian University
・
資訊工程學系就職中
全職 / 對遠端工作有興趣
6 到 10 年
國立陽明大學 National Yang Ming University
・
生物醫學資訊
Senior Data Engineer @Garena2021 ~ 現在
・
Data engineer
一年內
Aiden Wu Data Engineer / Machine Learning Engineer Taipei, Taiwan • Enthusiastic software developer: focus on distributed systems, especially Hadoop ecosystem • Experience in data engineering: develop batch and real-time data pipelines with an average of TBs per month via Spark and Airflow • Experience in machine learning: develop machine learning (ML) and deep learning (DL) models while providing services on RESTful API https://www.slideshare.net/ssuserf88631/presentations 工作經歷 Senior Data Engineer • Garena 八月Present • Build and manage self-distributed systems (e.g., Hadoop, Spark, and Kafka Cluster) • Design
就職中
全職 / 對遠端工作有興趣
4 到 6 年
National Cheng Kung University
・
Department of Electrical Engineering就學中
實習生 / 暫不考慮遠端工作
4 到 6 年
BISE LAHORE BOARD
・
Metric 
Software Architect @Elegant Service Company2021 ~ 現在
・
Manager
三個月內
Johnson Liu Job Title Taipei City, Taiwan • Open minded; possesses strong communication skills and learning ability • Strong in strategic thinking / planning ability • Responsible, always able to meet project deadlines. • Creative and not afraid of trying 工作經歷 Software Architect • Elegant Service Company 七月Present 1. Software Architect Design for Wafer production line 2. Engineering Support System Design and Implementation 3. Build Team / Recruit 4. Software Outsourcing Management Associate Director • Metropia 八月七月Join company and work as a Backend Leader, initial Devops process (Python, Node.JS, Go
就職中
全職 / 對遠端工作有興趣
15 年以上
Chinese Culture University
・
Information Management最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號，如果想濾掉中文字，需搭配雙引號使用 (-"人資")
UI designer -UX
職場能力評價定義
專業技能
該領域中具備哪些專業能力（例如熟悉 SEO 操作，且會使用相關工具）。
問題解決能力
能洞察、分析問題，並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對，並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法，且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序，有效運用時間，準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感，願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展，有效引領團隊採取行動，達成共同目標。
專業背景
目前狀態
就職中
求職階段
專業
機器學習工程師
產業
人工智慧 / 機器學習, 大數據, 軟體即服務 / 雲服務
工作年資
2 到 4 年
管理經歷
無
技能
語言能力
Chinese
・
母語或雙語
English
・
中階
求職偏好
希望獲得的職位
Data Scientist/Machine Learning Engineer
預期工作模式
全職
期望的工作地點
Taiwan, Taipei, Taiwan, Hsinchu, 新竹市台灣, Taoyuan, 桃園區桃園市台灣, New Taipei City, Taiwan
遠端工作意願
對遠端工作有興趣
接案服務
否
學歷
學校
國立臺北大學
主修科系
統計研究所
Jerry Hsu
I am a passionate learner and always encourage myself to explore the possibilities of journey in my life.
Machine Learning Engineer
Taipei City | Taiwan
- National Taipei University | Master degree in statistics | 2017/09 - 2020/02
- National Sun Yat-sen University | Bachelor degree in mathematics | 2012/09 - 2016/06
Work Experience
CloudMile Inc. | Machine Learning Engineer | 2021/12 ~ Current | Taipei City
- Took charge in Hsinchu's Bigcity PLTV Precision Marketing project in the feature engineering and modeling
- Designed the retail related features and Machine Learning model.
- Developed the tree-based model in Python achieving 80% accuracy in classification task and 10% Decile-level MAPE in regression task.
- Collaborated with Data Engineer to complete the CDP platform by pandas and Looker studio.
- Co-lead with Solution Architect and Sales teams to deal with the pain points from overall clients
- Co-lead with Solution Architect and Sales in the project which was still in the business development stage and designed the Machine Learning solution in POC.
- Implemented the Machine Learning Solution in the POC (Proof of Concept) stage by Vertex AI
- Took the lead on the recommendation system’s internal project with 4 Machine Learning Engineers.
- Worked on the papers study and continued sharing among the ML team.
- Retrained GPT-2 model to replace the original model in the company’s product. (Still in the progress)
Academia Sinica CITI | Research Assistant | 2020/02 ~ 2021/12
- Reorganized and enhanced Automatic DJ system
- Proposed deep learning model surpassed the State of the Art model in the EDM subgenre classification task about 5% - 10% (Research Link)
- Refined the music structure annotation part to enable Automatic Disk Jockey System has ability to classify the segments of Electronic Dance Music into 6 different music structures.
- Converted the whole Automatic Disk Jockey System from Python 2 to Python 3.
- Contributed 2 AIDJ related researches in the AIDJ project (ICASSP, ISMIR)
- B.-Y. Chen, W.-H. Hsu, W.-H. Liao, M. A. M. Ram´ırez, Y. Mitsufuji, Y.-H. Yang, “Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks,” presented at the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022)
- A. Ramires et al., “The Freesound Loop Dataset and annotation tool,” in Proc. Int. Soc. Music Information Retrieval Conf., 2020
Skill & Certifications
Machine Learning skills
- Deep Learning (CNN, RNN, NN)
- Tree-based Model
- Music auto-tagging
- Predicted customer lifetime value
- Tabular data
Tools
- Python, R, SAS
- Numpy, Pandas, Scikit-learn
- GCP Vertex AI, AutoML
- Git, Airflow
Certrification
- Google Cloud Professional Machine Learning Engineer
- Google Cloud Professional Data Engineer
Jerry Hsu
I am a passionate learner and always encourage myself to explore the possibilities of journey in my life.
Machine Learning Engineer
Taipei City | Taiwan
- National Taipei University | Master degree in statistics | 2017/09 - 2020/02
- National Sun Yat-sen University | Bachelor degree in mathematics | 2012/09 - 2016/06
Work Experience
CloudMile Inc. | Machine Learning Engineer | 2021/12 ~ Current | Taipei City
- Took charge in Hsinchu's Bigcity PLTV Precision Marketing project in the feature engineering and modeling
- Designed the retail related features and Machine Learning model.
- Developed the tree-based model in Python achieving 80% accuracy in classification task and 10% Decile-level MAPE in regression task.
- Collaborated with Data Engineer to complete the CDP platform by pandas and Looker studio.
- Co-lead with Solution Architect and Sales teams to deal with the pain points from overall clients
- Co-lead with Solution Architect and Sales in the project which was still in the business development stage and designed the Machine Learning solution in POC.
- Implemented the Machine Learning Solution in the POC (Proof of Concept) stage by Vertex AI
- Took the lead on the recommendation system’s internal project with 4 Machine Learning Engineers.
- Worked on the papers study and continued sharing among the ML team.
- Retrained GPT-2 model to replace the original model in the company’s product. (Still in the progress)
Academia Sinica CITI | Research Assistant | 2020/02 ~ 2021/12
- Reorganized and enhanced Automatic DJ system
- Proposed deep learning model surpassed the State of the Art model in the EDM subgenre classification task about 5% - 10% (Research Link)
- Refined the music structure annotation part to enable Automatic Disk Jockey System has ability to classify the segments of Electronic Dance Music into 6 different music structures.
- Converted the whole Automatic Disk Jockey System from Python 2 to Python 3.
- Contributed 2 AIDJ related researches in the AIDJ project (ICASSP, ISMIR)
- B.-Y. Chen, W.-H. Hsu, W.-H. Liao, M. A. M. Ram´ırez, Y. Mitsufuji, Y.-H. Yang, “Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks,” presented at the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022)
- A. Ramires et al., “The Freesound Loop Dataset and annotation tool,” in Proc. Int. Soc. Music Information Retrieval Conf., 2020
Skill & Certifications
Machine Learning skills
- Deep Learning (CNN, RNN, NN)
- Tree-based Model
- Music auto-tagging
- Predicted customer lifetime value
- Tabular data
Tools
- Python, R, SAS
- Numpy, Pandas, Scikit-learn
- GCP Vertex AI, AutoML
- Git, Airflow
Certrification
- Google Cloud Professional Machine Learning Engineer
- Google Cloud Professional Data Engineer