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Logo of 臻鼎科技股份有限公司.
1. 規劃並導入AI、大數據、邊緣運算數據架構及新技術,制定使用技術規範及標準作業流程,整體技術發展輪廓與藍圖。帶領及管理技術開發團隊。程式設計開發撰寫經驗至少4年以上。 2. 熟悉
hadoop
kafka
spark
1M ~ 1.8M TWD / year
4 years of experience required
Managing staff numbers: not specified
Logo of 融動全球有限公司.
1. 設計/開發/維護大數據相關專案, 包含Data Warehouse管理, 負責資料建模、收集、存取與儲存等功能 2. 建立 Batch/Streaming ETL pipeline,並確保數據品質與正確性 4. 維護雲端大數據架構及服務 5. 理解使用者
80 ~ 120 TWD / year
3 years of experience required
No management responsibility
Logo of IAG 香港商創機科技股份有限公司.
Get data from both internal and external sources via API or crawlers. Perform data analysis to help marketing/business teams to answer business/operational questions. Build and optimize models for business decision making. Interpret trends or patterns from complex data sets by using statistical and visualization tools. Conduct data analysis reports to illustrate/visualize the results and insight. Build analytics tools that utilize the data pipeline to provide insights to customer needs
台北
台灣
40K ~ 60K TWD / month
Logo of 智齡科技股份有限公司.
Jubo 正在招募 Machine Learning Engineer 機器學習工程師 加入其位於台灣新北市、針對台灣本地市場的產品研發團隊。對於真正合適的人選,這會是可以與高速成長、並擁有廣大國際連結的科技公司合作的獨一無二
600K ~ 800K TWD / year
1 years of experience required
No management responsibility
Logo of 銓鴻資訊有限公司.
- We are looking for experienced Machine Learning/Deep Learning engineers. - This is a technical role, and it requires a high willingness to learn state-of-the-art AI techniques and a skill to apply AI techniques to business applications/processes. - Participate in the engineering life-cycle, including writing production code, conducting code reviews and deploy machine learning solutions into production. - You’re not just looking for a job, you’re looking for an innovative
Python
Machine Learning
台北
台灣
大安區
忠孝復興捷運站
1M ~ 2.5M TWD / year
Logo of Syncopate Innovations Co Ltd..
We are looking for a highly knowledgeable and enthusiastic machine learning engineer to help solve complex problems across a variety of audio processing projects. You will be both creating new solutions and evaluating existing machine learning (ML) processes, as well as performing statistical analysis to create and analyse large data sets. To ensure success as a machine learning engineer, you should be able to demonstrate solid data science knowledge and experience in a related ML role, as well
台北
60K ~ 100K TWD / month
No management responsibility
Logo of 華邦電子股份有限公司.
履歷登錄網址: Link [Summary] Winbond is building a data intelligence team to increase productivity, data capability, and business impact. This team is in charge of enterprise data platform, AI and BI solutions to empower not only business operation but also strategic decisions. We are looking for Senior Data Scientist to join this new and world-class data intelligence team. You'll collaborate with other Data Scientists, Data Engineers, and various domain-subject ex
+java
+python
+scala
竹北市
Regular earnings reach NT$40,000
No management responsibility
Logo of 圓剛科技股份有限公司 AVerMedia Technologies, Inc..
- Develop data records management processes and policies - Identify areas to increase efficiency and automation of processes - Set up and maintain automated data processes - Identify, evaluate and implement external services and tools to support data validation and cleansing - Produce and track key performance indicators of all digital channels (paid, owned, earned media) - Creating dashboards, data visualizations, and campaign and website performance reports. - Monitor and audit data quality -
R
Python
Tableau
40K ~ 70K TWD / month
No management responsibility
Logo of 富盈數據股份有限公司.
1.維護既有數據流及模型API 2.規劃數據架構及技術發展藍圖,訂定數據工程與分析的技術及作業流程 3.規劃及實作大數據資料流程設計及導入系統、軟體、數據分析與維運自動化的各
40 ~ 70 TWD / month
No management responsibility
Logo of Fazz.
#About the Team Fazz’s Data Engineering teams are responsible for creating and maintaining the infrastructure that runs the company’s data pipeline, and optimizing the flow and collection of data for the critical business analytics and AI/data-driven solutions. The success of the team relies on the high engineering standard and the adoption of cutting-edge technology that empowers the organization to be agile. Data engineering forms the foundation to ensure that precious data
4 years of experience required
No management responsibility

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