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4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
United States
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智慧製造全端開發工程師 @聯華電子股份有限公司
2022 ~ 现在
AI工程師、機器學習工程師、深度學習工程師、影像演算法工程師、資料科學家、Ai Application Engineer,Machine Learning Engineer,Deep Learning Engineer,Data Scientist
一個月內
Python
Qt
Git
就职中
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
元智大學 Yuan Ze University
工業工程與管理學系所
Avatar of 李昀庭.
Avatar of 李昀庭.
AI Engineer @Playsee
2022 ~ 现在
資料分析師、資料科學家、產品經理
一個月內
李昀庭 Data scientist Taiwan 技能 Machine learning and Engineering skills: Python, Big Query, Google Storage, Linux, Docker, GCP, AWS, Scikit-learn, Tensorflow, Pytorch, MLOps, FastAPI, Machine Learning, Deep Learning, Computer Vision, NLP Experimental design, Project management, Product design English - TOEIC 725 工作經歷 AI工程師 Playsee NovPresent Taipei, Taiwan 自動化標註推薦系統 設計並實踐架構取代25個標註者並及時標記和篩選視頻審核內容。 設計並優化影片
Python
Project Management
Strategic Thinking
就职中
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
National Cheng Kung University
心理所(認知科學所)
Avatar of Timmy TSENG.
Avatar of Timmy TSENG.
安全組組長 @INTECHWORLD INC.(菲律賓總公司)(電腦系統整合服務業)
2022 ~ 现在
滲透測試、資訊安全
一個月內
customer satisfaction. Position: System enginner Company: Intech Duration:Now Location: Philippines Use python and Jenkins build whole CI/CD From Jira(RD) > Jira(SA) > Jenkins(SA) > Deploy instance or k8s Use python and Jenkins maintain more than 20 thousands domain SSL certificate. Know Basic machine learning. Scikit learn script classify ticket process departmen Position: Sergent Company: Repulic of China Army Duration:Location: Taiwan Responsible for executing tasks assigned by officers, ensuring adherence to directives and objectives. Collaborated effectively with soldiers to complete assigned tasks, fostering teamwork and operational efficiency. Facilitated communication and coordination between
python
Linux
AWS
就职中
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
資策會
雲端網路系統工程師
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AI Engineer @Revlis Biotech Co. Ltd., Yunlin County, Taiwan
2022 ~ 现在
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
兩個月內
Deep Learning
Machine Learning
Statistics
就职中
全职 / 对远端工作有兴趣
10 到 15 年
National Sun Yat-sen University
Biological Oceanography, Multivariate Analysis, Time Series Analysis
Avatar of 李岳峰.
Avatar of 李岳峰.
創辦人 @酷喬伊科技有限公司
2020 ~ 现在
Python developer
一個月內
品與服務並不是僅單一面向的東西,而是一連串的整合關係。 技能 PyTorch Python PostgreSQL MySQL SQLite3 JavaScript Flask FastAPI Django Azure App Service GCP Cloud SQL Redis Scrapy Selenium Web Crawler Docker Git Pandas Scikit-Learn 語言 Chinese — 母語或雙語 English — 中階 專案 Telegram Stock Price Bot 算是近期做的小專案,用 Python第三方套件 pandas datareader,串接 Yahoo Finance的股票價格。設定一些
PyTorch
Python
PostgreSQL
就职中
目前没有兴趣寻找新的机会
全职 / 对远端工作有兴趣
4 到 6 年
Fu Jen Catholic University
Major, Optical Physics, Minor, Finance and international business
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Avatar of the user.
Machine Learning Engineer @Tata Consultancy Services
2021 ~ 现在
Software Engineer, Machine Learning
超過一年
Python
Oracle ERP
Oracle SQL
就职中
全职 / 对远端工作有兴趣
10 到 15 年
The University of Texas at Austin
Post Graduate Program in Artificial Intelligence and Machine Learning
Avatar of WonHee Jung.
Avatar of WonHee Jung.
Senior Web Software Engineer @Blizzard Entertainment
2010 ~ 2011
Senior Software Engineer, Principal Software Engineer, Engineering Manager
超過一年
distributed/cloud computing area, and recently graduated in August : http://www.linkedin.com/in/wonheejung for more detail. Skills/Tools Beginner R, Kubernetes, GCP, Terraform, Machine Learning/Data Science, C++, Data Visualization(Tableau, D3), Data Cleaning and Curation, Scikit-learn, TensorFlow, OpenRefine Intermediate Spring-boot, AWS, C, Google Protobuf, Jenkins 2, Heroku, Maven, Python, Hibernate, MyBatis, Javascript, Oracle, Splunk Expert Java, Spring framework, OAuth2, Git, Docker, Unit testing, Agile/Scrum based development, project planning, writing design documentation. Work Experience Blizzard Entertainment Senior Software Engineer, Sep 2014
docker
spring framework
Java
全职 / 对远端工作有兴趣
15 年以上
Georgia Institute of Technology
Computer Science

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问题解决能力
能洞察、分析问题,并拟定方案有效解决问题。
变通能力
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时间管理能力
了解工作项目的优先顺序,有效运用时间,准时完成工作内容。
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兩個月內
Data/ML Engineer
Logo of 和雲行動服務.
和雲行動服務
2022 ~ 现在
Taipei City, Taiwan
专业背景
目前状态
就职中
求职阶段
专业
机器学习工程师, 数据工程师, Python 开发人员
产业
资讯服务
工作年资
4 到 6 年工作经验(2 到 4 年相关工作经验)
管理经历
我有管理 1~5 人的经验
技能
Scikit-Learn
Pandas
Python
SQL
Linux
AWS
Databricks
Flask
Docker
PySpark
Azure Data factory
Azure DevOps
Django
Delta Lake
MLflow
语言能力
Chinese
母语或双语
English
专业
Korean
中阶
求职偏好
希望获得的职位
Data Engineer/Data Scientist
预期工作模式
全职
期望的工作地点
Taipei City, 台灣, Singapore, USA, Japan
远端工作意愿
对远端工作有兴趣
接案服务
学历
学校
Emerson College
主修科系
Integrated Marketing Communications
列印
J8x52fzt9ygq1pabsur4

Cheng-Chun Chang

Data/ML Engineer & Senior Marketing Professional


- 8+ years of experience in FMCG, E-commerce, Digital Advertising, and SAAS field. 

- 4+ years of experience in Data Science/Data Engineering field.

- Designed and implemented business-oriented MLOps architecture.

- Built and monitored Big Data ETL pipeline.

- Data management and governance with Data Lakehouse architecture.

- Programming languages: Python, SQL

- Tools and frameworks: PySpark, Delta Lake, MLflow, Scikit-Learn, Pandas, Flask, Docker, Git

- Familiar with Azure: Databricks, Data Factory, EventHub, OpenAI, Azure DevOps, and more

- Familiar with AWS: SageMaker, S3

- Strong marketing and communication knowledge.

Taipei, Taiwan
[email protected]

+886983460202

Experience

Data Engineer at DuPont, Nov 2023 ~ Present

Hsinchu, Taiwan

- Designed and implemented end-to-end machine learning architectures to predict chemical experiment results, leveraging Databricks, Azure Cloud, and on-premises servers. 


- Refactored and optimized the existing data ETL pipeline for real-time processing, using Azure Data Factory, Logic App, and custom Python programs.


- Collaborated with cross-functional teams located worldwide, delivering projects and tasks for diverse business units across different regions.


N6iwes6tovyzee5yvjtb

Data Engineer at iRent, Jun 2022 ~ Nov 2023

Taipei, Taiwan

- Designed data ingestion pipelines from data sources like on-premise databases, Azure EventHub, and APIs, processing 25M raw records update daily, using Azure Data Factory, Azure Function, Python async programming, APIs.


- Introduced Azure Data Factory's parameterized data pipeline to prevent manual tasks, simplify the pipeline structure, and cut down daily ETL processing time by 75%.


- Refactored data transformation program using Databricks and PySpark, reducing processing time from 8+ hours to less than 30 seconds at most.


- Designed ML projects and introduced MLOps to improve machine learning workflow, using MLflow, Pyspark MLlib, Azure Devops, and Databricks CLI.


- Introduced and implemented Databricks Auto Loader as an streaming ETL solution, which cut down processing time by 50% and prevented overheads like manually tracking job checkpoints.


- Served as an in-house Python trainer, training 7-8 members in the data team.


N6iwes6tovyzee5yvjtb

AI Engineer at Atelli, Nov 2019 ~ Jun 2022

Taipei, Taiwan

- Developed AI digital ads optimization programs across multiple digital ad platforms, resulting in saving clients' ad spend by 20% and increasing ROAS by 200%.


- Implemented data ingestion from 3 mainstream ad platforms, processing millions of raw records daily.


- Designed data pipelines for ETL, ad bidding calculation, model inference, and applying adjustments to ad platforms, using a combination of crontab, APIs, MySQL, and AWS Sagemaker.


- Implemented a deep learning pipeline for ad audiences recommendation, which included feature engineering, model training, and predicting the suitable audiences among a variety of labeled groups with 80% accuracy, using AWS S3 and Sagemaker and custom Python scripts.


- Leveraged clustering algorithm to simulate human agent ad operation, resulting in 95% similarity with the real actions.


- Built a deep CNN for predicting click through rates of ad creatives with MAE 0.8%.


N6iwes6tovyzee5yvjtb

Digital Product Manager at SOCIAL GEAR, Dec 2017 ~ Mar 2019

Taipei, Taiwan

- Managed Facebook API based software products (Chatbot, Ad Tech, Creative system) 

- Arranged Chatbot scenario, conversation flow, and UX for clients' business goals 

- Responsible for oversea partnership development and local business development 

- Facebook ad operation


Ul5pwrbekxiqcjwyg4y0

Digital Marketing Specialist at Payeasy,  Jul 2015 ~ Jul 2016

Taipei, Taiwan

Digital marketing and CRM.


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Marketing Specialist at I-MEI Food Company, Oct 2013 ~ Mar 2015

Taipei, Taiwan

Product marketing and management.

Uwk5fda3ymkl1yn06lol

Education

Emerson College, MA, Integrated Marketing Communications, 2011 ~ 2012 

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Fu Jen Catholic University, BS, Statistics, 2004 ~ 2008

Syoprrsyoszdj54oak93

Certifications

Microsoft Certified: Azure Data Engineer Associate

Credential: https://learn.microsoft.com/en-us/users/64068593/credentials/ac78161eec297eb4?ref=https%3A%2F%2Fwww.linkedin.com%2F

Databricks Certified Data Engineer Associate

Credential: https://credentials.databricks.com/2ba71079-4b19-4834-9480-2e52053f78cc

Academy Accreditation - Databricks Lakehouse Fundamentals Credential: https://credentials.databricks.com/8795589d-b8d2-4b50-b147-5c0b721a2e77

Languages

- Chinese (Native)

- English: Fluently

- Korean: Intermediate

简历
个人档案
J8x52fzt9ygq1pabsur4

Cheng-Chun Chang

Data/ML Engineer & Senior Marketing Professional


- 8+ years of experience in FMCG, E-commerce, Digital Advertising, and SAAS field. 

- 4+ years of experience in Data Science/Data Engineering field.

- Designed and implemented business-oriented MLOps architecture.

- Built and monitored Big Data ETL pipeline.

- Data management and governance with Data Lakehouse architecture.

- Programming languages: Python, SQL

- Tools and frameworks: PySpark, Delta Lake, MLflow, Scikit-Learn, Pandas, Flask, Docker, Git

- Familiar with Azure: Databricks, Data Factory, EventHub, OpenAI, Azure DevOps, and more

- Familiar with AWS: SageMaker, S3

- Strong marketing and communication knowledge.

Taipei, Taiwan
[email protected]

+886983460202

Experience

Data Engineer at DuPont, Nov 2023 ~ Present

Hsinchu, Taiwan

- Designed and implemented end-to-end machine learning architectures to predict chemical experiment results, leveraging Databricks, Azure Cloud, and on-premises servers. 


- Refactored and optimized the existing data ETL pipeline for real-time processing, using Azure Data Factory, Logic App, and custom Python programs.


- Collaborated with cross-functional teams located worldwide, delivering projects and tasks for diverse business units across different regions.


N6iwes6tovyzee5yvjtb

Data Engineer at iRent, Jun 2022 ~ Nov 2023

Taipei, Taiwan

- Designed data ingestion pipelines from data sources like on-premise databases, Azure EventHub, and APIs, processing 25M raw records update daily, using Azure Data Factory, Azure Function, Python async programming, APIs.


- Introduced Azure Data Factory's parameterized data pipeline to prevent manual tasks, simplify the pipeline structure, and cut down daily ETL processing time by 75%.


- Refactored data transformation program using Databricks and PySpark, reducing processing time from 8+ hours to less than 30 seconds at most.


- Designed ML projects and introduced MLOps to improve machine learning workflow, using MLflow, Pyspark MLlib, Azure Devops, and Databricks CLI.


- Introduced and implemented Databricks Auto Loader as an streaming ETL solution, which cut down processing time by 50% and prevented overheads like manually tracking job checkpoints.


- Served as an in-house Python trainer, training 7-8 members in the data team.


N6iwes6tovyzee5yvjtb

AI Engineer at Atelli, Nov 2019 ~ Jun 2022

Taipei, Taiwan

- Developed AI digital ads optimization programs across multiple digital ad platforms, resulting in saving clients' ad spend by 20% and increasing ROAS by 200%.


- Implemented data ingestion from 3 mainstream ad platforms, processing millions of raw records daily.


- Designed data pipelines for ETL, ad bidding calculation, model inference, and applying adjustments to ad platforms, using a combination of crontab, APIs, MySQL, and AWS Sagemaker.


- Implemented a deep learning pipeline for ad audiences recommendation, which included feature engineering, model training, and predicting the suitable audiences among a variety of labeled groups with 80% accuracy, using AWS S3 and Sagemaker and custom Python scripts.


- Leveraged clustering algorithm to simulate human agent ad operation, resulting in 95% similarity with the real actions.


- Built a deep CNN for predicting click through rates of ad creatives with MAE 0.8%.


N6iwes6tovyzee5yvjtb

Digital Product Manager at SOCIAL GEAR, Dec 2017 ~ Mar 2019

Taipei, Taiwan

- Managed Facebook API based software products (Chatbot, Ad Tech, Creative system) 

- Arranged Chatbot scenario, conversation flow, and UX for clients' business goals 

- Responsible for oversea partnership development and local business development 

- Facebook ad operation


Ul5pwrbekxiqcjwyg4y0

Digital Marketing Specialist at Payeasy,  Jul 2015 ~ Jul 2016

Taipei, Taiwan

Digital marketing and CRM.


Avu3dfmhyt3srthsphph

Marketing Specialist at I-MEI Food Company, Oct 2013 ~ Mar 2015

Taipei, Taiwan

Product marketing and management.

Uwk5fda3ymkl1yn06lol

Education

Emerson College, MA, Integrated Marketing Communications, 2011 ~ 2012 

Gp9fsv9hfzwh4sehckqv

Fu Jen Catholic University, BS, Statistics, 2004 ~ 2008

Syoprrsyoszdj54oak93

Certifications

Microsoft Certified: Azure Data Engineer Associate

Credential: https://learn.microsoft.com/en-us/users/64068593/credentials/ac78161eec297eb4?ref=https%3A%2F%2Fwww.linkedin.com%2F

Databricks Certified Data Engineer Associate

Credential: https://credentials.databricks.com/2ba71079-4b19-4834-9480-2e52053f78cc

Academy Accreditation - Databricks Lakehouse Fundamentals Credential: https://credentials.databricks.com/8795589d-b8d2-4b50-b147-5c0b721a2e77

Languages

- Chinese (Native)

- English: Fluently

- Korean: Intermediate