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進階搜尋
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Avatar of Rocking Lai.
Avatar of Rocking Lai.
Machine Learning Software Engineer @AMD
2021 ~ 現在
Machine Learning Engineer
兩個月內
deep learning. Deep Learning Engineer , CVITEK, OctSep 2021 Spin off from Bitmain . Mainly focus on deep learning accelerator (so called NPU or TPU) and stereo vision accelerator. Deep learning accelerator a. Research and prototype the int8, int4 and bf16 quantization algorithm. b. Mix-precision algorithm based on Post training, result had applied patent in US and CN (USA1, CNA). c. Model compression flow (heterogeneous quantization). d. Design quantization flow in deep learning compiler (graph optimization, calibration, fine tuning, mix-precision). e. Implement frontend of deep learning compiler (high
Deep Learning
Computer Vision
C++
就職中
全職 / 對遠端工作有興趣
6 到 10 年
National Chiao Tung University
Computer Science
Avatar of Gavin Jang.
Avatar of Gavin Jang.
AI Engineer @Revlis Biotech Co. Ltd., Yunlin County, Taiwan
2022 ~ 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
兩個月內
Gavin Jang AI Engineer Taichung City, Taiwan Highly skilled in Machine/ Deep Learning, Statistics, Time Series Analysis, and Multivariate Analysis. Have built a WaveGAN model for generating 12 LEADs ECG signals and a U-Net model for reconstructing 12 LEADs ECG signals. Accomplishments De-Noising Auto-Encoder for ECG Signals U-Net for Reconstructing 12 LEADs ECG Signals WaveGAN for Generating 12 LEADs ECG Signals Deep Learning Model for Heart Disease Diagnosis AI-Based Blood Sugar Detection with ECG Signals Data Visualization and Deep Learning Model for Deep-Sea Fishery Work History AI Engineer Revlis Biotech Co
Deep Learning
Machine Learning
Statistics
就職中
全職 / 對遠端工作有興趣
10 到 15 年
National Sun Yat-sen University
Biological Oceanography, Multivariate Analysis, Time Series Analysis
Avatar of Lindsay Yuling Chuang.
Avatar of Lindsay Yuling Chuang.
Teaching Assistant @Georgia Institute of Technology | The University of British Columbia
2014 ~ 2019
PHD Student
超過一年
Lindsay Yuling Chuang I am a Ph.D. candidate of Geophysics at Georgia Tech. My research mainly focus on using various machine learning and deep learning algorithms to solve different seismological problems. I am a data enthusiastic with 10+ years full stack developing experiences. Atlanta, GA, USA Publication Journal paper Earthquake transformer - an attentive deep-learning model for simultaneous earthquake detection and phase picking publication dat SM Mousavi, WL Ellsworth, W Zhu, LY Chuang, GC Beroza Nature communications, 1-12 Plateau subduction, intraslab seismicity, and the Denali (Alaska) volcanic gap publication date L Chuang
Machine Learning
Python
Deep learning with TensorFlow
實習生 / 對遠端工作有興趣
6 到 10 年
The University of British Columbia
M.S. in Geophysics
Avatar of 吳杰.
機器學習演算法工程師
超過一年
吳杰 我畢業於交通大學電子工程研究所,目前專注於機器學習這塊領域。碩士論文主要是研究:如何在物聯網中,利用機器學習的演算法降低總能量消耗。 自己在服役期間,用Deep learning做了一些side project,例如:輸入照片,自動辨別性別與年齡,語意分析,走迷
Deep Learning Algorithms
System Integration
AI accerator
全職 / 對遠端工作有興趣
4 到 6 年
交通大學
電子工程系
Avatar of the user.
Avatar of the user.
Principal Engineer @Coretronic Corporation, 中強光電
2020 ~ 2022
Machine Learning Engineer
一個月內
Python
Linux
C++
就職中
全職 / 對遠端工作有興趣
6 到 10 年
國立台灣大學
經濟學
Avatar of the user.
Avatar of the user.
Research and Development Engineer @Kyoto Robotics
2020 ~ 現在
Engineer
一年內
image processing
machine learning
deep learning
就職中
全職 / 對遠端工作有興趣
6 到 10 年
IIT Bombay
MTech in Electronic Systems
Avatar of the user.
Avatar of the user.
工程師 @義隆電子
2016 ~ 現在
工程師、副理
一個月內
C
python
Verilog
就職中
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
國立臺灣科技大學
電機系
Avatar of Paul Tang.
Avatar of Paul Tang.
Senior Software Engineer @U-NEXT Co., Ltd.
2021 ~ 現在
Software Engineer
一個月內
Tensorflow/Keras/OpenCV Software Engineer • 盛星科技 | Astra Inc. 十二月四月Build innovative computer vision and pedestrian detection backend service - Build and maintain a high availability of deep learning-based computing systems - Develop human detection and facial recognition deep learning models and algorithms [Core technology] - Golang/Python - AWS/DynamoDB/SQS/EC2 - Tensorflow/Keras/OpenCV/openVINO Platform Engineer Intern • Intel 二月六月Survey internal paper and develop the internal script for Xeon SP testing platform - FPGA, OpenCL deep learning and machine learning research - Develop
Python
Docker
Linux
就職中
全職 / 對遠端工作有興趣
4 到 6 年
Nation Taiwan University
Bioelectronic and Bioinformatics
Avatar of 莊承翰.
Avatar of 莊承翰.
Algorithm Engineer @Delta Electronics
2017 ~ 現在
Algorithm Engineer
一個月內
莊承翰 The devil is in the detail. Video and Image Algorithm, Deep learning, Software development [email protected] Summary Over 8 years of experience in deep learning and more than 10 years of experience in computer vision/image processing. Capable of independently or collaboratively building AI (image/video) products from scratch with various teams. Analyzing, and improving deep learning systems. Kaggle Top 1% ( 16 /Sartorius - Cell Instance Segmentation (2021/12~2021/12) Top 4% ( 85 /Human Protein Atlas Image Classification (2018/11~2019/1
Software Development
Python
C++
就職中
全職 / 暫不考慮遠端工作
4 到 6 年
National Chin-Yi University of Technology
Avatar of Jack Long.
Avatar of Jack Long.
資料分析師 @天鏡科技
資料分析師
一年內
categorical data, text data, imbalance data. Languages Mandarin, English Experience Data Analyst - skymirror co.,AprMaydata modelling Make statistical model for daily or long term trading strategy of Taiwan, China, US future market, and oversea financial derivatives. Reviewing and improving the model. Applying financial indicator or machine learning e.g. Xgboost and RNN to predict market. And improve the model. Study new technical about deep learning or mathematical algorithm and try it on trading. Main goal is to improve model accuracy. Data visualization Communicate with manager how to calculate and decide
r programming
Data analysis
SAS
全職 / 對遠端工作有興趣
6 到 10 年
國立台北大學
統計

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
如果結果不夠多,再逐一刪除較不重要的關鍵字
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
免費方案僅能搜尋公開履歷。
升級至進階方案,即可瀏覽所有搜尋結果(包含數萬筆覽僅在 CakeResume 平台上公開的履歷)。

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。
超過一年
資深資料科學家、商業分析師與商業開發運營主管
Logo of BenQ 明基電通.
BenQ 明基電通
2021 ~ 現在
Taipei City, Taiwan
專業背景
目前狀態
就職中
求職階段
專業
數據科學家
產業
工作年資
4 到 6 年工作經驗(2 到 4 年相關工作經驗)
管理經歷
我有管理 5~10 人的經驗
技能
Python
Java
Azure
C++
C
Excel
Machine Learning
Deep Learning
Data Analysis
Data Mining
Data Visualization
Marketing Strategy
Management
Market Analysis
語言能力
Chinese
母語或雙語
English
中階
求職偏好
希望獲得的職位
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
預期工作模式
全職
期望的工作地點
台灣台北市
遠端工作意願
對遠端工作有興趣
接案服務
學歷
學校
國立台灣大學
主修科系
電信工程
列印

Hlrlnxsbjo4idmmtm5ek

Dan Zheng

The data team lead and growth hacker at BenQ. Leading the data team in business/tech for new system design and development.


Served as a co-founder of a delivery platform startup company and experience in  writing a website, researching machine controller hardware, and some embedded system firmware.


Now specializing in deeply cultivating the AI ​​field, using NLP, ML, DL, RL and various cutting-edge technologies.


Data Team Lead、Data Manager、Machine Learning Engineer、Deep Learning Engineer、Sr. Data Scientist
Taipei, TW
[email protected]

Apply


Data Team Lead、Data Manager、Machine Learning Analyst, Deep Learning Analyst, Growth Hacker, Sr. Data Scientist

工作經歷

BenQ, Data Team Lead, Dec 2021 ~ Now

Department structure :
- Leading Infrastructure team, Data Analysis team,和 Business Growth team
- 4 Engineers、4 Data Scientist & Analyst、2 Project manager

Business culture, Tech, Project Development :
- Building BenQ Data Driven culture and methodology for BUs and departments
- Push around 200+ projects such as A/B Testing and User behaviors analysis for BUs and departments to cultivate the data-driven culture

- Development market trend and sales forecasting modeling service for BUs with around 85% accuracy/R2 score 

Team Building :
- Standard interview processing for Data Engineering, Data Science & Analysis, Project Manage, and Interviewed more than 100 Candidates, about 10 interviewed to the final interview.
- Data Team Bootstrap : Regular internal opening hours to establish new data products and algorithm establishment, process and cultural training from modeling to analysis reports


1. 【Products and Brand Key Words Predict Combination Model : All Product Line Volume Trend Prediction and Take Action/Generate the Insight】 

Internal volume keywords trend predict model, insight generate and consultant subscribe business development. 


2. 【Products Specs and Benefit Predict Combination Model : All Product Line Volume Trend Prediction and Take Action/Generate the Insight

Internal data science specs combination & benefit predict model, insight generate and consultant subscribe business development. 


3. 【GDPR Products Recommendation System】 

Internal data science federated learning recommendation system model, Scenario recommendation with insight generate and consultant subscribe business development. 

BenQ, Senior Data Scientist, Mar 2021 ~ Nov 2021

1. 【NLP-Business Metrics Combination : Improve the Metrics as Open Rate and Take Action/Generate the Insight】 

Internal data science keywords search engine, Auto Tagging and recommendation system engine development. 


2. 【NLP-Business Trend Combination : Finding the Keywords Field as Scenario Term like Indoor...etc and Take Action/Generate the Insight】 

Analyze the international market of major consumer electronic products and develop business models based on different series of the products.


3. 【Product positioning STP model】 According to each segment market, for local or global e-commerce platforms such as Amazon, etc. Establish a keyword generation model, and predict product rating and the accuracy rate is 95%.

Gama Mobile, Machine Learning Engineer, Aug 2019 ~ Sep 2020

【Mobile game physique scoring analysis model】Result: The game analysis has been tested by senior game consultants in the industry, compared with the analysis of the system's automatic judgment, and the result coincides with 75%.


【Analysis Model of VIP Player Churn in Mobile Games】 

Results: Based on the behavior of VIP users in the previous month, predict the person most likely to become churn, and verify the key reasons for churn, with an accuracy rate of 98%.

HIWIN Technology, AI Engineer, Nov 2017 ~ Mar 2019

Use Python to develop Azure's speech recognition system. 


This project is a cooperation project between Shanghai Bank and Microsoft Corporation. It will be exhibited together with Microsoft at the Nangang Exhibition Hall in August 2018. 

Le-Tao Technology, Co-founder, Co., Ltd., Nov 2015 ~ Nov 2016

As CIO/CMO 


The company’s main business is a university food delivery platform.


The highest order volume in a single day exceeds 6,000 orders, and the monthly turnover is 6 million Taiwan dollars Lay the company's main revenue foundation.

Education

National Taiwan University, Master's degree, Telecommunication Engineering, 2019 ~ 2021

Studying in the AI ​​and Information Security Group of the National Taiwan University Telecommunications Institute during holidays, ranked first in the first semester of the 109 school year, with an average GPA of 4.3/4.3


Credits have been completed, only graduation thesis left Expected to graduate in 2021 National Taiwan University's GPA out of 4.3 GPA3.8 is converted to a percentage score of 85.67 points

S22oysy25dcs1nxgqwfb

National Chung Hsing University, Bachelor of Engineering(BEng), Department of Mechanical Engineering, 2012 ~ 2016

Have a certain basic understanding of mechanical engineering and be able to use it in the field of work.

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Language


Chinese: Proficient 

English: medium 

Taiwanese: Proficient

Skill


Business analytical thinking skills

My advantage is: through the usual accumulation of industry observations and information collection, after finding possible market trends, follow the steps below to complete business development, market analysis, and market strategy. 


Data analysis

Python, Data Analysis, Data Studio,

GCP,Tableau, MySQL and Excel


AI

【Machine Learning】 

Good at algorithms: Random Forest, Logistic Regression, SVC, Yees Regression, Linear Regression, Xgboost, Ensemble learning System, k-means Clustering


【Deep Learning】 

Good at algorithms : CNN、RNN、Vgg16、 Vgg19、Resnet50 


Commonly used open frameworks and platforms : Keras、 Pytorch、Mxnet、Tensorow2.0、 Azure 


【NLP】 

Good at algorithms : Bert, word2vec, TF-IDF


【Reinforcement learning】 

Good at algorithms : Q-Learning、DQN 

履歷
個人檔案

Hlrlnxsbjo4idmmtm5ek

Dan Zheng

The data team lead and growth hacker at BenQ. Leading the data team in business/tech for new system design and development.


Served as a co-founder of a delivery platform startup company and experience in  writing a website, researching machine controller hardware, and some embedded system firmware.


Now specializing in deeply cultivating the AI ​​field, using NLP, ML, DL, RL and various cutting-edge technologies.


Data Team Lead、Data Manager、Machine Learning Engineer、Deep Learning Engineer、Sr. Data Scientist
Taipei, TW
[email protected]

Apply


Data Team Lead、Data Manager、Machine Learning Analyst, Deep Learning Analyst, Growth Hacker, Sr. Data Scientist

工作經歷

BenQ, Data Team Lead, Dec 2021 ~ Now

Department structure :
- Leading Infrastructure team, Data Analysis team,和 Business Growth team
- 4 Engineers、4 Data Scientist & Analyst、2 Project manager

Business culture, Tech, Project Development :
- Building BenQ Data Driven culture and methodology for BUs and departments
- Push around 200+ projects such as A/B Testing and User behaviors analysis for BUs and departments to cultivate the data-driven culture

- Development market trend and sales forecasting modeling service for BUs with around 85% accuracy/R2 score 

Team Building :
- Standard interview processing for Data Engineering, Data Science & Analysis, Project Manage, and Interviewed more than 100 Candidates, about 10 interviewed to the final interview.
- Data Team Bootstrap : Regular internal opening hours to establish new data products and algorithm establishment, process and cultural training from modeling to analysis reports


1. 【Products and Brand Key Words Predict Combination Model : All Product Line Volume Trend Prediction and Take Action/Generate the Insight】 

Internal volume keywords trend predict model, insight generate and consultant subscribe business development. 


2. 【Products Specs and Benefit Predict Combination Model : All Product Line Volume Trend Prediction and Take Action/Generate the Insight

Internal data science specs combination & benefit predict model, insight generate and consultant subscribe business development. 


3. 【GDPR Products Recommendation System】 

Internal data science federated learning recommendation system model, Scenario recommendation with insight generate and consultant subscribe business development. 

BenQ, Senior Data Scientist, Mar 2021 ~ Nov 2021

1. 【NLP-Business Metrics Combination : Improve the Metrics as Open Rate and Take Action/Generate the Insight】 

Internal data science keywords search engine, Auto Tagging and recommendation system engine development. 


2. 【NLP-Business Trend Combination : Finding the Keywords Field as Scenario Term like Indoor...etc and Take Action/Generate the Insight】 

Analyze the international market of major consumer electronic products and develop business models based on different series of the products.


3. 【Product positioning STP model】 According to each segment market, for local or global e-commerce platforms such as Amazon, etc. Establish a keyword generation model, and predict product rating and the accuracy rate is 95%.

Gama Mobile, Machine Learning Engineer, Aug 2019 ~ Sep 2020

【Mobile game physique scoring analysis model】Result: The game analysis has been tested by senior game consultants in the industry, compared with the analysis of the system's automatic judgment, and the result coincides with 75%.


【Analysis Model of VIP Player Churn in Mobile Games】 

Results: Based on the behavior of VIP users in the previous month, predict the person most likely to become churn, and verify the key reasons for churn, with an accuracy rate of 98%.

HIWIN Technology, AI Engineer, Nov 2017 ~ Mar 2019

Use Python to develop Azure's speech recognition system. 


This project is a cooperation project between Shanghai Bank and Microsoft Corporation. It will be exhibited together with Microsoft at the Nangang Exhibition Hall in August 2018. 

Le-Tao Technology, Co-founder, Co., Ltd., Nov 2015 ~ Nov 2016

As CIO/CMO 


The company’s main business is a university food delivery platform.


The highest order volume in a single day exceeds 6,000 orders, and the monthly turnover is 6 million Taiwan dollars Lay the company's main revenue foundation.

Education

National Taiwan University, Master's degree, Telecommunication Engineering, 2019 ~ 2021

Studying in the AI ​​and Information Security Group of the National Taiwan University Telecommunications Institute during holidays, ranked first in the first semester of the 109 school year, with an average GPA of 4.3/4.3


Credits have been completed, only graduation thesis left Expected to graduate in 2021 National Taiwan University's GPA out of 4.3 GPA3.8 is converted to a percentage score of 85.67 points

S22oysy25dcs1nxgqwfb

National Chung Hsing University, Bachelor of Engineering(BEng), Department of Mechanical Engineering, 2012 ~ 2016

Have a certain basic understanding of mechanical engineering and be able to use it in the field of work.

Hxrpwtowgoqdzlgockto

Language


Chinese: Proficient 

English: medium 

Taiwanese: Proficient

Skill


Business analytical thinking skills

My advantage is: through the usual accumulation of industry observations and information collection, after finding possible market trends, follow the steps below to complete business development, market analysis, and market strategy. 


Data analysis

Python, Data Analysis, Data Studio,

GCP,Tableau, MySQL and Excel


AI

【Machine Learning】 

Good at algorithms: Random Forest, Logistic Regression, SVC, Yees Regression, Linear Regression, Xgboost, Ensemble learning System, k-means Clustering


【Deep Learning】 

Good at algorithms : CNN、RNN、Vgg16、 Vgg19、Resnet50 


Commonly used open frameworks and platforms : Keras、 Pytorch、Mxnet、Tensorow2.0、 Azure 


【NLP】 

Good at algorithms : Bert, word2vec, TF-IDF


【Reinforcement learning】 

Good at algorithms : Q-Learning、DQN