Filters
上級
On

Cake Talent Search

Avatar of the user.
Avatar of the user.
Senior Data Scientist - Principal Associate @Capital One
2022 ~ 2024
Data Scientist, Data Analyst, Machine Learning Engineer
1ヶ月以内
Word
Excel
PowerPoint
兵役中
面接の用意ができています
United States・Taiwan・South Korea
フルタイム / リモートワークに興味あり
4〜6年
University of Maryland - Robert H. Smith School of Business
business analytics
Avatar of 林士傑.
Avatar of 林士傑.
Past
數據分析師 @台灣客服科技股份有限公司
2018 ~ 2024
AI工程師、機器學習工程師、數據分析師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
1ヶ月以内
與 BTC 價格預測平台,導入 Airflow、MLflow、Prometheus 等工具實現訓練自動化與監控可視化。熟悉 PyTorch 與語意建模,能結合 DL 模型與 Prompt Engineering 有效解決 NLP 任務。 📂 GitHub: github.com/SamJim0729 內湖區, 台北市, 台灣 資料科學專案 Data Science Projects 個人實作專案 AugNow BTC 月趨勢預測 MLOps 系統建置 : 資料準備 : 運
python
sql
tableau
無職
面接の用意ができています
Taiwan
フルタイム / リモートワークに興味あり
4〜6年
輔仁大學 Fu Jen Catholic University
統計學
Avatar of 李慕全(MuChuan Li).
Avatar of 李慕全(MuChuan Li).
軟體工程師 @TSMC 台積電
2024 ~ 現在
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
1ヶ月以内
抓取金融新聞,將繁體文章標題與內文透過語言轉換工具(opencc)轉為簡體,最終使用情感分析工具(snownlp)進行股市漲跌分析。 技術:NLP、Beautifulsoup、 opencc 、 snownlp 、 Matplotlib 台灣景氣指標預測模型 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
Machine Learning
Computer Vision
Pytorch/Tensorflow
就職中
面接の用意ができています
Taiwan
フルタイム / リモートワークに興味あり
4〜6年
國立臺北科技大學
資訊工程
Avatar of 劉琮蒍.
Avatar of 劉琮蒍.
第三期畢業生 @台灣人工智慧學校
2018 ~ 2019
AI人工智慧相關職缺
2ヶ月以内
Tsungwei, Liu AI RESEARCHER/AI DEVELOPER Email: [email protected] | Phone:Taipei City, Taiwan Professional Summary AI Team Lead and Researcher with 6+ years experience in developing AI solutions and products. Expertise in LLMs, NLP, and machine learning. Proven ability to lead cross-cultural teams and drive innovation in AI applications across industries. Skill Sets - AI/ML: LLM fine-tuning, RAG, PyTorch, Scikit-learn, Hugging Face, Gensim, LoRA, PEFT, LangChain, llama.cpp, BERT, Transformer models - NLP: Spacy, Word2Vec, Named Entity Recognition, Sentiment Analysis, Prompt Engineering - Data Processing & Databases: Elasticsearch, Neo4j, SQL
machine learning
Deep Learning
Computer Vision
就職中
面接の用意ができています
Taiwan
フルタイム / リモートワークに興味あり
6〜10年
私立真理大學(台灣)
資訊管理
Avatar of 林芊 Lin Chien.
Avatar of 林芊 Lin Chien.
AI Engineer @財團法人人工智慧科技基金會
2021 ~ 現在
AI Engineer
1ヶ月以内
加速 AI 技術的應用落地。課程設計涵蓋理論、實作與專題,內容包括 Python 基礎 、 資料分析 、 機器學習 、 深度學習(CNN、RNN) 、 自然語言處理(NLP) 、 物件偵測 等,並結合實務專案強化學員技能。培訓對象遍及面板業、材料業、電信業等製造業領域,實現跨行業知識轉移。 此
LangChain
LangGraph
RAG
就職中
面接の用意ができています
Taiwan
フルタイム / リモートワークに興味あり
4〜6年
國立中央大學天文研究所
天文學
Avatar of the user.
Avatar of the user.
Past
資料科學家 @精藤股份有限公司
2022 ~ 2024
1ヶ月以内
Python
Scikit-Learn
Tableau
無職
面接の用意ができています
Taiwan
フルタイム / リモートワークに興味あり
6〜10年
台北市職能發展學院
商業企劃與虛擬實境應用
Avatar of the user.
Avatar of the user.
Past
Senior Data engineer @Constant Contact
2022 ~ 2024
Data Scientist
1ヶ月以内
Reinforcement Learning
Linear Regression
Machine Learning
無職
面接の用意ができています
Taiwan
フルタイム / リモートワークに興味あり
4〜6年
Illinois Institute of Technology
Computational Decision Science and Operations Research
Avatar of 姚璇亨.
Avatar of 姚璇亨.
商業分析師 @凱基商業銀行股份有限公司
2021 ~ 現在
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
2ヶ月以内
姚璇亨 Henry Yao 會寫程式的商業資料分析師,往 LLM / ML / 資料工程師方向精進中 技能:資料爬蟲 / 自動化作業 / 機器學習建模 Email: [email protected] |LINE: heinz.yao | Mobile:工作經歷 凱基商業銀行股份有限公司:商業分析師 (DecNow) 參與「鷹眼識詐」專案,建立自動化排程,以
Python
English as a Second Language (ESL)
Excel
就職中
就職希望
Taiwan
フルタイム / リモートワークに興味あり
4〜6年
國立政治大學(National Chengchi University)
數位內容
Avatar of 陳惠龍.
Avatar of 陳惠龍.
Data Scientist @AnBogenTherapeutics
2025 ~ 現在
Data Scientist 資料科學家_數據分析師
1ヶ月以内
HUEY-LONG CHEN 陳惠龍 Kaggle Competitions Expert: https://www.kaggle.com/alanchen1115 Competitions: Survival analysis (生存分析): - Silver medal (solo): (Kaggle) CIBMTR - Equity in post-HCT Survival Predictions Improve prediction of transplant survival rates equitably for allogeneic HCT patients. 2025/03/05 NLP (自然語言處理): - Silver medal (solo): (Kaggle) The Learning Agency Lab - PII Data Detection: Develop automated techniques to detect and remove PII from educational data. 2024/04/24 - Silver medal (solo): (Kaggle) U.S. Patent Phrase to
pytorch tensorflow
machine learning
Data Science
就職中
就職希望
Taiwan
フルタイム / リモートワークに興味あり
15年以上
Purdue University
School of civil engineering (Stochastic & statistical hydrology)
Avatar of Gary Tsai蔡明諺.
Avatar of Gary Tsai蔡明諺.
System Engineer @Advantest
2021 ~ 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
1ヶ月以内
參與各種專業講座、研討會,深入研究了最新的人工智慧技術和趨勢,擴展了我的專業知識,特別是在機器學習、深度學習和自然語言處理等領域。從中獲得的見解對我未來的工作和研究產生了積極影響 🏆 畢業生代表 2019 北科服務表現 績優獎 熱
Python
Docker
Tensorflow/Keras
就職中
就職希望
Taiwan
フルタイム / リモートワークに興味なし
4〜6年
國立陽明交通大學
電腦科學

最も簡単で効果的な採用プラン

80万枚以上の履歴書を検索して、率先して求人応募者と連絡をとって採用効率を高めましょう。何百もの企業に選ばれています。

  • 検索結果をすべて閲覧
  • 新しい会話を無制限に始められます
  • 有料企業にのみ履歴書を公開
  • ユーザーのメールアドレスと電話番号を確認
1年以内
Assistant Manager
Taiwan
Professional Background
現在の状況
求人検索の進捗
Professions
Data Scientist, Machine Learning Engineer
Fields of Employment
職務経験
4〜6年
Management
I've had experience in managing 5-10 people
スキル
Python
Pyspark
Natural Language Processing
Data Science
Data Engineering
Docker
Google Cloud Platform
言語
Job search preferences
希望のポジション
Algorithm Engineer/ Data Scientist/ Sr. Project Management
求人タイプ
フルタイム
希望の勤務地
リモートワーク
リモートワークのみ
Freelance
学歴
学校
専攻
印刷
Ryan.jpg

Ryan Chao

[email protected]  •  0978903016  •  Taipei, Taiwan

Hi, I'm Ryan, my current research interests include natural language processing, data engineering, machine learning and data related applications, and these are also my daily duties.

Experience

PIXNET 

Assistant Manager, Aug 2020 - Sep 2022

  • Lead data team(Aug 2020 - now)
Lead  and manage  data team with 6 members, we are dedicated to deliver insights from data to the company, not only support decision-making for business but also provide tech solutions to our services and products. My contributions includes:
    • Architecture and methodology review for data solutions and various data analytic tasks
    • Translate abstract business problems into solvable engineering components
    • Project planning and management
    • Goal alignment

Advanced  Algorithm Engineer, Oct 2017 - Aug 2020

  • Data streaming system development for near real time user tagging (Jan 2020 - Jul 2020)
    A kubernetes based application aims to link our content delivery system to the online readers according to their real time behaviors.
    • I lead the system architecture design
    • Handle concurrent traffic from over 5M users everyday
    • Leverage google cloud services such as GKE, GAE, and Pub/Sub.
  • General algorithm development in large scale (Oct 2017 - now)
    Deep learning is fascinating, I was a member of "Deep learning 101 Study Group" and learned a lot from there. However, in practical scenarios, it's surprising to see some fundamental algorithms can show us more insights.
    • PySpark dataframe programming
    • Recommendation algorithm design, improved and achieved the best performance at that time 
    • Various classification tasks
    • User profile construction with NLP.
    • Information retrieval based chat bot
  • Data warehousing and ETL management (Feb 2019 - now)
    I created some tools(e.g., airfly) to help us management our data more efficiently.  
    • Based on PySpark
    • Auto DAG generator: automatically resolve and build the task dependencies for our data pipeline
    • Metadata management.
    • More easier to perform data analytics such as EDA, data mining, machine learning tasks, etc.
  • BI platform development (April 2019 - Oct 2019)
    • Leverage Google Dataproc to handle large scale adhoc queries for business team.
    • Provide daily user demographics, metrics and reports with datastudio.
  • Tech lead of our 5th PIXNET HACKATHON (Jan 2018 - Sep 2018)
    • I was in charge of the competition flow design, data preparation, technical support, and so on.
    • For the promotion purpose, I gave a talk about speech recognition at Microsoft Tech Hub and GAN  at Taiwan R User Group

Former work experiences

Zuirens

Computer Vision Engineer, Sep 2016 - Sep 2017
  • Software and hardware integration planning. 
  • Object detection algorithm development based on OpenCV and C++/Python. 
  • Application Implementation based on Qt framework.
Backend Engineer, July 2016 - Sep 2017
  • Media server deployment for live streaming service. 
  • Crawler implementation and management. 
  • Web development planning.

Acuratek

Embedded Application Engineer, May 2015 - Jan 2016

  • POC Applications based on development platforms such as PIC32, nRF52xx, 8051, etc. 
  • Android development based on OTG application.

Mechtronic Integration Engineer, Sep 2014 - Sep 2015

  • 3-axis servo control with X-Y linear guideway installation.
  • Mechatronic system and software integration.
  • Application based on C# programming.

CORMA

Interactive Mechatronic Engineer, Aug 2013 - Aug 2014

  • Motors and sensors control based on Arduino.

Skills


Programming Languages

mainly Python for now (open-minded to other languages if needed)


Frameworks and Tools

PySpark, Docker, Google Cloud Services, Jupyter, Sanic, Fabric, scikit-learn, Tensorflow.


Others

Linux, Emacs

Side Projects


  • airfly: a tool for auto generating Airflow dag file, 2021. [repo]
  • gutt: a tool for auto generating unit test template, 2021. [repo]
  • Spark CodeFight Hackathon, 2017. [repo]
  • OpenCV project for pattern matching and object tracking, 2017 [repo]
  • Conversation retrieval based chit-chat bot, 2017. [repo]
  • Kaggle competitions, ICDM 2015: top 25%, BNP 2016: top 5%. [kaggle info]

Awards & Honors


  • 2017 PyCon speaker, [slide]
  • 2017 HackNTU, Mentor.
  • 2016 PIXNET HACKATHON, "Best A.I. Cloze Award". 

Activities


  • Machine Learning Certification on Coursera, 2015. 
  • Deep learning 101 Study Group, study topic: RNN, 2017 - now. 
  • Spark Taiwan Study Group, 2016 - 2017.

Education


National Cheng Kung University, Taiwan

BS, Mechanical Engineering
Resume
プロフィール
Ryan.jpg

Ryan Chao

[email protected]  •  0978903016  •  Taipei, Taiwan

Hi, I'm Ryan, my current research interests include natural language processing, data engineering, machine learning and data related applications, and these are also my daily duties.

Experience

PIXNET 

Assistant Manager, Aug 2020 - Sep 2022

  • Lead data team(Aug 2020 - now)
Lead  and manage  data team with 6 members, we are dedicated to deliver insights from data to the company, not only support decision-making for business but also provide tech solutions to our services and products. My contributions includes:
    • Architecture and methodology review for data solutions and various data analytic tasks
    • Translate abstract business problems into solvable engineering components
    • Project planning and management
    • Goal alignment

Advanced  Algorithm Engineer, Oct 2017 - Aug 2020

  • Data streaming system development for near real time user tagging (Jan 2020 - Jul 2020)
    A kubernetes based application aims to link our content delivery system to the online readers according to their real time behaviors.
    • I lead the system architecture design
    • Handle concurrent traffic from over 5M users everyday
    • Leverage google cloud services such as GKE, GAE, and Pub/Sub.
  • General algorithm development in large scale (Oct 2017 - now)
    Deep learning is fascinating, I was a member of "Deep learning 101 Study Group" and learned a lot from there. However, in practical scenarios, it's surprising to see some fundamental algorithms can show us more insights.
    • PySpark dataframe programming
    • Recommendation algorithm design, improved and achieved the best performance at that time 
    • Various classification tasks
    • User profile construction with NLP.
    • Information retrieval based chat bot
  • Data warehousing and ETL management (Feb 2019 - now)
    I created some tools(e.g., airfly) to help us management our data more efficiently.  
    • Based on PySpark
    • Auto DAG generator: automatically resolve and build the task dependencies for our data pipeline
    • Metadata management.
    • More easier to perform data analytics such as EDA, data mining, machine learning tasks, etc.
  • BI platform development (April 2019 - Oct 2019)
    • Leverage Google Dataproc to handle large scale adhoc queries for business team.
    • Provide daily user demographics, metrics and reports with datastudio.
  • Tech lead of our 5th PIXNET HACKATHON (Jan 2018 - Sep 2018)
    • I was in charge of the competition flow design, data preparation, technical support, and so on.
    • For the promotion purpose, I gave a talk about speech recognition at Microsoft Tech Hub and GAN  at Taiwan R User Group

Former work experiences

Zuirens

Computer Vision Engineer, Sep 2016 - Sep 2017
  • Software and hardware integration planning. 
  • Object detection algorithm development based on OpenCV and C++/Python. 
  • Application Implementation based on Qt framework.
Backend Engineer, July 2016 - Sep 2017
  • Media server deployment for live streaming service. 
  • Crawler implementation and management. 
  • Web development planning.

Acuratek

Embedded Application Engineer, May 2015 - Jan 2016

  • POC Applications based on development platforms such as PIC32, nRF52xx, 8051, etc. 
  • Android development based on OTG application.

Mechtronic Integration Engineer, Sep 2014 - Sep 2015

  • 3-axis servo control with X-Y linear guideway installation.
  • Mechatronic system and software integration.
  • Application based on C# programming.

CORMA

Interactive Mechatronic Engineer, Aug 2013 - Aug 2014

  • Motors and sensors control based on Arduino.

Skills


Programming Languages

mainly Python for now (open-minded to other languages if needed)


Frameworks and Tools

PySpark, Docker, Google Cloud Services, Jupyter, Sanic, Fabric, scikit-learn, Tensorflow.


Others

Linux, Emacs

Side Projects


  • airfly: a tool for auto generating Airflow dag file, 2021. [repo]
  • gutt: a tool for auto generating unit test template, 2021. [repo]
  • Spark CodeFight Hackathon, 2017. [repo]
  • OpenCV project for pattern matching and object tracking, 2017 [repo]
  • Conversation retrieval based chit-chat bot, 2017. [repo]
  • Kaggle competitions, ICDM 2015: top 25%, BNP 2016: top 5%. [kaggle info]

Awards & Honors


  • 2017 PyCon speaker, [slide]
  • 2017 HackNTU, Mentor.
  • 2016 PIXNET HACKATHON, "Best A.I. Cloze Award". 

Activities


  • Machine Learning Certification on Coursera, 2015. 
  • Deep learning 101 Study Group, study topic: RNN, 2017 - now. 
  • Spark Taiwan Study Group, 2016 - 2017.

Education


National Cheng Kung University, Taiwan

BS, Mechanical Engineering