- Jobs
ResumeCreate your job-winning resume using our free resume builder.
PortfolioShowcase your skills and projects with a professional portfolio.ResumeCreate your job-winning resume using our free resume builder.Resume BuilderMake a resume for free.Resume TemplatesAccess our extensive library of professional & ready-to-use templates.Resume ExamplesGet inspired by real resume examples to create your own.Occupation GuideAccess resume writing guides tailored for different professions.Resume HelpGet expert advice on all things resume from our team of recruitment specialists.- ResourcesSuccess StoriesBusiness ExcellenceAbout CakeResumeFeatured Reads
- Hire
- Download our App
CakeResume Talent Search
Advanced filters
On
4-6 years
6-10 years
10-15 years
More than 15 years
Manager @GOMAJI 夠麻吉2017 ~ Present
・
Project Lead / Tech Lead / Team Lead / Technical Manager
Within one month
CI/CD, and Software Development Process: (1) Responsibility: Developed hybrid cloud architecture using GCP, especially include local K8S, GaKE, Docker and other services. Implemented CI/CD systems and designed internal software processes, communicating closely with executive leadership. (2) Achievement: Enhanced IT infrastructure flexibility and scalability, improved system reliability and operational efficiency, reduced costs. 4. Data Platform and Personalized Recommendation System: (1) Responsibility: Built AWS data platform including ETL, data warehousing, and lakes. Led development of a personalized recommendation system using AWS Personalize, custom algorithm and Generative AI, e.g. OpenAI, Genimi
Employed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
Shih Hsin University
・
Management Information Systems, General
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
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立政治大學（National Chengchi University）
・
資訊科學系資料分析師 Data Analyst @Portto 門戶科技| Blocto2022 ~ 2024
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
臺灣大學
・
流行病學與預防醫學所 生物統計組
Past
Senior Data Analyst @趨勢科技2022 ~ Present
・
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
view APP usage - app usage tree view is designed to let users be able to easily get customer’s usage data. Skill : Microsoft SQL Server · Kusto Query Language (KQL) · Azure Databricks · Microsoft Azure Dashboard · Tableau · Microsoft Power BI · Data Cubes · pySpark · Git Data Analyst • Bank SinoPac OctNov 2022 Personalized recommendation system on official website. Using machine learning model to find the potential customers, total uplift 20% click rate and 6% conversion rate, find out the important features to help business stakeholders give the proper campaign to different customers. Integrate user's transaction data, online behavior data, interest
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
輔仁大學 Fu Jen Catholic University
・
統計資訊學系
Consultant @Startup2023 ~ 2024
・
Pre-sales/PM/Business Consultant/Business Analyst/System Analyst
Within one month
析解決方案，降低客戶和專案成本 • 獲頒 2022 年最佳表現者之一 • 增加2位顧問作為資源協助客戶的專案； 輔導新顧問 Business Data Analyst (Recommendation System Engineer) • 良興股份有限公司 MarchJuly 2020 | New Taipei City, Taiwan 背景 • 公司進行數位轉型 • 領導數據發展部的數據專案 Data Analytics 專案 • 負責市場洞察挖
Employed
・
Ready to interview
Full-time / Not interested in working remotely
4-6 years
Fu Jen Catholic University
・
Brand and Fashion Management
Past
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
Within one month
reached the Databricks Delta Lake. Established robust guardrails using the combined might of AWS Lambda, Apache Airflow and Databricks, ensuring that data stored in the DataBricks Delta Lake consistently met the highest quality benchmarks. MLOps / Machine Learning / Data Science Utilized Databricks to build a LightGCN-based recommendation system, fine-tuning for precise content delivery. Monitored model versions with MLflow, ensuring continuous integration. Seamlessly merged our recommendation system with Databricks Delta Lake, maintaining a high-quality data influx and elevating system performance. Developed a comprehensive MLOps service on Databricks, spanning from preprocessing to deployment
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
台灣大學
・
大氣科學所
Data science lecturer @Ittraining2020 ~ Present
・
Data Scientist 資料科學家_數據分析師
Within one month
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 Phrase Matching: Help Identify Similar Phrases in U.S. Patents, 2022/06/21 Recommendation system (推薦系統): - Silver medal (solo): (Kaggle) OTTO – Multi-Objective Recommender System: Build a recommender system based on real-world e-commerce sessions, 2023/02/08 - Bronze medal (solo): (Kaggle) H&M Personalized Fashion Recommendations: Provide product recommendations based on previous purchases, 2022/05
Employed
・
Open to opportunities
Part-time / Interested in working remotely
More than 15 years
Purdue University
・
School of civil engineering (Stochastic & statistical hydrology)
Senior Software Engineer @International Integrated Systems, Inc.(IISI)2020 ~ Present
・
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
Within one month
Chin Ya Chang Machine Learning Engineer New Taipei City , Taiwan [email protected] Current Position: AI Team - Software Engineer at the Central Weather Bureau, specializing in machine learning. Tasks include image generation, numerical prediction, data calibration, recommendation systems, and text generation using data from satellites, radar, and geographic information. I stay updated on AI advancements by studying research papers and implementing new approaches into projects. Recently, I've focused on deploying Large Language Models (LLM) in customer-oriented chatbots. Proficient in Docker for establishing and maintaining development environments, deploying projects to client environments.
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
私立中原大學 Chung Yuan Christian University
・
環境工程
Expertise & Innovation Lead, Cloud @fifty-five2023 ~ Present
・
Cloud Solution Architect
Within one month
and collaborative efforts. Data Specialist / R&D Institute for Information Industry OctOct 2023 Taipei, Taiwan - Digital Marketing & Traffic Optimization: Enhanced search traffic via strategic SEO for major platforms. - Large-Scale Website Project: Contributed to a high-value SaaS website launch, overseeing deployment and development. - Data Analysis & Systems : Developed GCP-centric data systems, boosting data integration and analysis. - Team Leadership & Innovation: Created a Vertex AI recommendation engine, advancing data team methodologies. EducationNational Chengchi University MS in Computer Science Thesis:Explainable Deep Learning-Based Recommendation Systems: Enhancing the Services of Public Sector Subsidy Online Platform Courses
Employed
Full-time / Interested in working remotely
4-6 years
National Chengchi University
・
Computer SciencePrincipal Engineer @Coretronic Corporation, 中強光電2020 ~ 2022
・
Machine Learning Engineer
Within one month
Employed
Full-time / Interested in working remotely
6-10 years
國立台灣大學
・
經濟學The Most Lightweight and Effective Recruiting Plan
Search resumes and take the initiative to contact job applicants for higher recruiting efficiency. The Choice of Hundreds of Companies.
- Browse all search results
- Unlimited access to start new conversations
- Resumes accessible for only paid companies
- View users’ email address & phone numbers
Search Tips
1
Search a precise keyword combination
senior backend php
2
Use quotes to search for an exact phrase
"business development"
3
Use the minus sign to eliminate results containing certain words
UI designer -UX
Only public resumes are available with the free plan.
Upgrade to an advanced plan to view all search results including tens of thousands of resumes exclusive on CakeResume.
Definition of Reputation Credits
Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Professional Background
Current status
Unemployed
Job Search Progress
Professions
Data Scientist
Fields of Employment
Work experience
4-6 years work experience (2-4 years relevant)
Management
Skills
Languages
Chinese
・
Native or Bilingual
English
・
Intermediate
Job search preferences
Positions
Machine Learning Engineer
Job types
Full-time
Locations
Taipei, 台灣, Tōkyō, 東京都日本, Singapore, China
Remote
Interested in working remotely
Freelance
No
Educations
School
National Cheng Kung University
Major
Computer and Communication Engineering
Core Competencies
Hard Skills
- Python / Unix / Shell Script / SQL
- ML / DL / NLP
- Git / Docker
- Anaconda / Poetry
- GCP / AWS
- Retrieval-Augmented Generation (RAG)
- Vector Database (Qdrant, MongoDB Atlas)
- FastAPI
Soft Skills
- Leadership and mentorship
- Strong problem-solving ability
- Strategic Planning and Execution
- Self-learner
- Code Review and Quality Assurance
- Highly stress resistant
- Experience working in a startup and be part of an agile team
- Project management
- Mandarin (native) /English (TOEIC 840)
Familier Libraries
- Tensorflow / Keras
- Scikit-learn
- HuggingFace
- Pandas / Numpy
- Langchain
Work Experience
Uto.ai, Team Lead | Oct. 2023 - Present
At Uto.ai, I led the development of a multilingual, LLM-based chatbot that improved service delivery and user interaction across various countries. I managed a team of five engineers, focusing on complex, cross-functional communications in a fast-paced environment.
Leadership and Innovation
Spearheaded the AI team, focusing on talent acquisition, training, and mentorship. Implemented effective strategies for team growth and skill enhancement.
Project Management
Collaborated with stakeholders to align project goals with business objectives, ensuring cross-functional collaboration for project advancement.
Technical Expertise
Enhanced chatbot interactions by integrating vector databases with Retrieval-Augmented Generation (RAG), creating a customizable knowledge base, enhancing character interaction and user experience. Enabled support for multiple languages, catering to a diverse user base and showcasing the project's international reach.
Development of Long-Term Memory Systems
Utilized MongoDB to build a long-term memory system for the chatbot, enabling the retention and contextual use of information across interactions.
API Development
Led the development of RESTful APIs, ensuring seamless integration and communication between the chatbot and external services.
Quality Assurance and Best Practices
Conducted code reviews to maintain high standards of code quality, adherence to best practices, and to foster a culture of continuous learning and improvement within the team.
Playsee, AI Engineer, Mar. 2023 ~ Oct. 2023
At Playsee, I developed a conversational recommendation system that analyzed data from over 10 million users across multiple platforms. I designed text and video content recommendations tailored to international markets, thereby enhancing global user engagement.
Data Analysis at Scale
- Conducted in-depth analysis of extensive social media data, identifying user patterns and trends to inform the development of a conversational recommendation system.
Personalized Recommendations
- Leveraged the prowess of large language models (LLM), including ChatGPT, to guide users in articulating their preferences, enabling precise content recommendations.
- Collaborated directly with OpenAI engineers to stay at the forefront of LLM information and technology through bi-weekly webinar meetings.
- Analyzed user behavior with precision to deliver tailored recommendations, such as posts, reels and local stores.
- Formulated targeted advertising recommendations for commercial accounts in contexts that maximize their impact.
Vector Database Optimization
- Performed exhaustive benchmarking of multiple vector databases, discerning and implementing best practices to elevate system performance.
- Devised meticulous database schemas, finely tuned to achieve peak performance.
Sentence Embedding Service
- Evaluated a spectrum of embedding models, aligning selections with project requirements and effectively balancing performance and cost.
- Implemented GPU acceleration for expedited embedding computations while prudently managing budget constraints.
- Successfully orchestrated the deployment of the sentence embedding service onto Google Cloud Platform (GCP).
Emotibot, NLP Data Scientist, Sep. 2021 ~ Feb. 2023
As an NLP Data Scientist at Emotibot, I dedicated myself to advancing the field of Natural Language Processing (NLP) through research, innovation, and practical application. My role encompassed a wide range of responsibilities aimed at optimizing NLP downstream tasks, including Sentiment Analysis, Name Entity Recognition (NER), Relation Extraction, Key Information Extraction, and more. Here's a breakdown of my contributions:
Name Entity Recognition System
- Pioneered the development of a re-trainable platform for NER models, enabling fine-tuning with customized datasets.
- Successfully fine-tuned the baseline NER model, achieving an outstanding F1 score of up to 90%.
- Applied OCR results to extract critical information from receipts and tickets, enhancing data extraction capabilities.
Sentence Embedding
- Conceived and executed experiments utilizing pre-trained models to generate sentence embeddings, enhancing the performance of various NLP downstream tasks.
- Created an API server capable of receiving sentences and returning embeddings, streamlining the integration of pre-trained models across different modules, and improving operational efficiency.
Document Understanding
- Implemented a groundbreaking document encoder that leveraged coordinates and sentence embeddings from bounding boxes as features.
- Incorporated BERT models to extract relationships between different tokens within documents, augmenting the understanding of textual content with spatial information.
- Established a dedicated sentence embedding API server to support seamless integration and utilization of these enhanced document understanding capabilities.
Chungyo Group, Machine Learning Engineer, Nov. 2020 ~ Apr. 2021
Manage a project of a real-time forecasting system for online games. Analyzed the data using Python libraries such as Pandas, Scikit-Learn, TensorFlow to extract features to analysis user-behavior and built statistical models in Python based on ML algorithms like SVM, Logistic Regression, Neural Networks.
Universal Scientific Industrial, Machine Learning Engineer, Oct. 2017 ~ Jun. 2020
Implementation of Object Detection and Face Recognition on embedding systems. These functions help users to classify photos automatically from the background with only a few hardware resources.
Education
National Cheng Kung University, M.Sc. in Institute of Computer and Communication Engineering, 2014 ~ 2016
National Central University, B.Cs. in Communication Engineering, 2009 ~ 2014
Self-learning
Natural Language Processing
Recommendation System
TensorFlow Developer Certificate, 2021/04
Testing the ability to use TensorFlow to build deep learning models for a range of tasks such as regression, computer vision, natural language processing, and time series forecasting.
Coursera Certifications (Online Courses)
Shopee Code League 2020
Participate in Shopee Code competition. The competition contains some different kind of data science applications, such as Data Cleaning, Data Analytics, Object Classification and NLP. Link
Shopee Code League - Product Detection - Kaggle
Use EfficientNet to detect products in images. Reach the top 30%.
Shopee Code League - Logistics - Kaggle
Cleaning data. Flagged out the late deliveries and penalties are imposed on the providers to ensure they perform their utmost.
Core Competencies
Hard Skills
- Python / Unix / Shell Script / SQL
- ML / DL / NLP
- Git / Docker
- Anaconda / Poetry
- GCP / AWS
- Retrieval-Augmented Generation (RAG)
- Vector Database (Qdrant, MongoDB Atlas)
- FastAPI
Soft Skills
- Leadership and mentorship
- Strong problem-solving ability
- Strategic Planning and Execution
- Self-learner
- Code Review and Quality Assurance
- Highly stress resistant
- Experience working in a startup and be part of an agile team
- Project management
- Mandarin (native) /English (TOEIC 840)
Familier Libraries
- Tensorflow / Keras
- Scikit-learn
- HuggingFace
- Pandas / Numpy
- Langchain
Work Experience
Uto.ai, Team Lead | Oct. 2023 - Present
At Uto.ai, I led the development of a multilingual, LLM-based chatbot that improved service delivery and user interaction across various countries. I managed a team of five engineers, focusing on complex, cross-functional communications in a fast-paced environment.
Leadership and Innovation
Spearheaded the AI team, focusing on talent acquisition, training, and mentorship. Implemented effective strategies for team growth and skill enhancement.
Project Management
Collaborated with stakeholders to align project goals with business objectives, ensuring cross-functional collaboration for project advancement.
Technical Expertise
Enhanced chatbot interactions by integrating vector databases with Retrieval-Augmented Generation (RAG), creating a customizable knowledge base, enhancing character interaction and user experience. Enabled support for multiple languages, catering to a diverse user base and showcasing the project's international reach.
Development of Long-Term Memory Systems
Utilized MongoDB to build a long-term memory system for the chatbot, enabling the retention and contextual use of information across interactions.
API Development
Led the development of RESTful APIs, ensuring seamless integration and communication between the chatbot and external services.
Quality Assurance and Best Practices
Conducted code reviews to maintain high standards of code quality, adherence to best practices, and to foster a culture of continuous learning and improvement within the team.
Playsee, AI Engineer, Mar. 2023 ~ Oct. 2023
At Playsee, I developed a conversational recommendation system that analyzed data from over 10 million users across multiple platforms. I designed text and video content recommendations tailored to international markets, thereby enhancing global user engagement.
Data Analysis at Scale
- Conducted in-depth analysis of extensive social media data, identifying user patterns and trends to inform the development of a conversational recommendation system.
Personalized Recommendations
- Leveraged the prowess of large language models (LLM), including ChatGPT, to guide users in articulating their preferences, enabling precise content recommendations.
- Collaborated directly with OpenAI engineers to stay at the forefront of LLM information and technology through bi-weekly webinar meetings.
- Analyzed user behavior with precision to deliver tailored recommendations, such as posts, reels and local stores.
- Formulated targeted advertising recommendations for commercial accounts in contexts that maximize their impact.
Vector Database Optimization
- Performed exhaustive benchmarking of multiple vector databases, discerning and implementing best practices to elevate system performance.
- Devised meticulous database schemas, finely tuned to achieve peak performance.
Sentence Embedding Service
- Evaluated a spectrum of embedding models, aligning selections with project requirements and effectively balancing performance and cost.
- Implemented GPU acceleration for expedited embedding computations while prudently managing budget constraints.
- Successfully orchestrated the deployment of the sentence embedding service onto Google Cloud Platform (GCP).
Emotibot, NLP Data Scientist, Sep. 2021 ~ Feb. 2023
As an NLP Data Scientist at Emotibot, I dedicated myself to advancing the field of Natural Language Processing (NLP) through research, innovation, and practical application. My role encompassed a wide range of responsibilities aimed at optimizing NLP downstream tasks, including Sentiment Analysis, Name Entity Recognition (NER), Relation Extraction, Key Information Extraction, and more. Here's a breakdown of my contributions:
Name Entity Recognition System
- Pioneered the development of a re-trainable platform for NER models, enabling fine-tuning with customized datasets.
- Successfully fine-tuned the baseline NER model, achieving an outstanding F1 score of up to 90%.
- Applied OCR results to extract critical information from receipts and tickets, enhancing data extraction capabilities.
Sentence Embedding
- Conceived and executed experiments utilizing pre-trained models to generate sentence embeddings, enhancing the performance of various NLP downstream tasks.
- Created an API server capable of receiving sentences and returning embeddings, streamlining the integration of pre-trained models across different modules, and improving operational efficiency.
Document Understanding
- Implemented a groundbreaking document encoder that leveraged coordinates and sentence embeddings from bounding boxes as features.
- Incorporated BERT models to extract relationships between different tokens within documents, augmenting the understanding of textual content with spatial information.
- Established a dedicated sentence embedding API server to support seamless integration and utilization of these enhanced document understanding capabilities.
Chungyo Group, Machine Learning Engineer, Nov. 2020 ~ Apr. 2021
Manage a project of a real-time forecasting system for online games. Analyzed the data using Python libraries such as Pandas, Scikit-Learn, TensorFlow to extract features to analysis user-behavior and built statistical models in Python based on ML algorithms like SVM, Logistic Regression, Neural Networks.
Universal Scientific Industrial, Machine Learning Engineer, Oct. 2017 ~ Jun. 2020
Implementation of Object Detection and Face Recognition on embedding systems. These functions help users to classify photos automatically from the background with only a few hardware resources.
Education
National Cheng Kung University, M.Sc. in Institute of Computer and Communication Engineering, 2014 ~ 2016
National Central University, B.Cs. in Communication Engineering, 2009 ~ 2014
Self-learning
Natural Language Processing
Recommendation System
TensorFlow Developer Certificate, 2021/04
Testing the ability to use TensorFlow to build deep learning models for a range of tasks such as regression, computer vision, natural language processing, and time series forecasting.
Coursera Certifications (Online Courses)
Shopee Code League 2020
Participate in Shopee Code competition. The competition contains some different kind of data science applications, such as Data Cleaning, Data Analytics, Object Classification and NLP. Link
Shopee Code League - Product Detection - Kaggle
Use EfficientNet to detect products in images. Reach the top 30%.
Shopee Code League - Logistics - Kaggle
Cleaning data. Flagged out the late deliveries and penalties are imposed on the providers to ensure they perform their utmost.