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4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
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曾任
博士後研究員 @洛桑大學神經發育疾病實驗室
2023 ~ 2023
Data Scientist, Data Analyst, Machine Learning Engineer
一個月內
Data Science
Data Analysis
Machine Learning
待業中
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
洛桑聯邦理工學院(EPFL)
神經科學
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曾任
Career transition @Career Break
2024 ~ 2024
NLP Engineer / Data Scientist / Machine Learning Engineer
一個月內
Python
SQL
NLP
待業中
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
National Chengchi University
資訊科學系
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曾任
Data Engineer @Rooit Inc. (XO App)
2023 ~ 2023
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
一個月內
Python
Data Analysis
Data Science
待業中
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
中國醫藥大學(China Medical University)
臨床醫學研究所
Avatar of Nelson Chen.
Avatar of Nelson Chen.
Senior engineer @Chicony Electronics Co, Ltd.
2018 ~ 現在
全端工程師、後端工程師、前端工程師、軟體專案主管、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
一個月內
Nelson Chen Senior engineer Dedicated Software Engineer with 6+ Years of Experience Senior software engineer specializing in web page development and deep learning. Proficient with machine learning technologies, such as TensorFlow, Numpy, etc. Experience Senior engineer • Chicony Electronics Co, Ltd. .Build an Auto-Encoder AI model for defective detection. .Build an object detection model for detecting car types. .Developed a Front-End and Back-End website for data analysis. .Manage the production process and make it automated production. NovPresent Software engineer • Teco image systems co. ltd .Developed and maintained MFP driver
Python
C
C++
就職中
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
National Taiwan Ocean University
Computer science and engineering
Avatar of Patrick Hsu.
Avatar of Patrick Hsu.
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.
2021 ~ 現在
Software Engineer
一個月內
Patrick Hsu AI Research & Development As a seasoned AI engineer with six years of experience, I specialize in computer vision, 3D body model reconstruction, generative AI, and possessing some knowledge in natural language processing (NLP). | New Taipei City, [email protected] Work Experience (6 years) Algorithm Research & Design• TG3D Studio MayPresent A skilled engineer specialized in computer vision and generative AI with experience in developing and training AI models for digital fashion applications. Body AI: Virtual Try On Integrated cutting-edge technologies such as Stable Diffusion, ControlNet, and Prompt Engineering to create a sophisticated system for
Python
AI & Machine Learning
Image Processing
就職中
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
國立台灣大學
生物產業機電工程所
Avatar of 陳郁夫.
Avatar of 陳郁夫.
Senior Software Engineer & Feature Product Manager @聯發科
2022 ~ 現在
資深軟體工程師
一個月內
. I'm responsible for software architecture, development, and design in the multi-camera domain, with a primary focus on cinematic mode and open-platform-related development and planning. During my time pursuing a Master's degree in Information Management at National Chiao Tung University, I delved into deep learning and its applications in finance. My research culminated in a thesis on multi-modal deep learning for semantic models in stock trading strategies. Throughout my graduate studies, I actively participated in various competitions and received accolades for my contributions." 現任職於聯發科
C++
Python
Machine Learning
就職中
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
國立師範大學附屬高級中學
Avatar of 鄒適文.
Avatar of 鄒適文.
曾任
Lead Data Scientist / Senior Data Scientist @Vinnovation Network 維諾森資訊科技
2022 ~ 2023
資料科學家、資料科學工程師、機器學習工程師
一個月內
Shih-Wen Tsou - With more than 5 years of experience in Data Analysis, Machine Learning and Deep Learning, familiar with Modeling, Data Analysis, Image Processing, Machine Learning, and Deep Learning. Taipei City, Taiwan WORK EXPERIENCE Lead Data Scientist / Full Stack Data Scientist, Vinnovation Network, Taipei, Taiwan Data Engineering / Data Analysis Spearheaded the development of a fully automated data integration pipeline that aggregated diverse data sets into a S3 Data Lake. Successfully integrated a range of data sources, including real-time data feeds from AWS Redshift and DocumentDB, as well as batch processes to import traditional CSV
python
tensorflow
keras
待業中
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
台灣大學
大氣科學所
Avatar of GISH Shao.
Avatar of GISH Shao.
AI Engineer/系統開發工程師 @中信金控_台灣人壽保險股份有限公司
2022 ~ 現在
AI Engineer
一個月內
retraining models/in production. Working in RPA( Robotic Process Automation) team, Web Scraping(crawler) and automating routine tasks to achieve labor cost reduction. JuneMay 2020 Data Scientist Intern @ Cathay Financial Holdings. 國泰金控 Digital data & Technology (DDT, 數數發) Research into Interpretable Machine Learning and its existing algorithms. Experimented LIME & SHAP on open data. ( GitHub ) Real Estate Evaluation model – Geographical/Credit Card data gathering, cleaning, feature engineering (Hit-rate performance improved from 55% to 70%) Python Machine learning Data Pipelines Web Crawlers PyTorch, Airflow, Pandas, docker SQL Extract-Transform
Python
SQL
就職中
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
國立台灣大學 National Taiwan University
Business Administration
Avatar of Shammi HSIEH.
Avatar of Shammi HSIEH.
資訊人員 @新北市淡水區公所
2023 ~ 現在
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
一個月內
謝慧珊 目前就職於公家機關擔任資訊人員,熱愛閱讀與寫作, 即將於致理科技大學進修商務智慧與創新科技研究所碩士班, 研究範圍為AI創新科技領域。 個性情感充沛並且喜歡觀察人群與反思,勇於接受挑戰。 座右銘: 樂觀積極,感恩惜福 www.shammixxd159
office
Python
WordPress
就職中
目前會考慮了解新的機會
全職 / 我只想遠端工作
10 到 15 年
致理科技大學
資訊管理系
Avatar of Jacob Lee.
Avatar of Jacob Lee.
Senior Software Development Engineer @奔騰網路
2023 ~ 現在
資深後端工程師
一個月內
model to make the company’s private AI (Vector DB), or connecting to the API of public generative AI through prompt, or It uses golang and k8s api to create extensions, yaml or Terraform for automated deployment. 4. Use tensorflow's forests decision prediction to obtain some information, machine learning frameworks such as tensorflow and pytorch, and also use huggingface's lib to connect multiple models (self-study of basic AI or machine learning and other related knowledge), and also study google self attention model, etc. 5. Experience in using multiple clouds, and using Terrafrom to
C#
Python
AI & Machine Learning
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
臺灣國立空中大學
資訊管理學系

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資深 後端 php laravel
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"社群行銷"
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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
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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。
一年內
Machine Learning Engineer
Logo of CloudMile 萬里雲.
CloudMile 萬里雲
2021 ~ 現在
Taiwan, 台灣
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
技能
Python
R
pytorch tensorflow
Django(Python)
JavaScript
Linux
PowerPoint
Word
Excel
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
學歷
學校
國立臺北大學
主修科系
統計研究所
列印

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

[email protected]

  • 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
履歷
個人檔案

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

[email protected]

  • 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