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我們為企業量身打造招募解決方案,以其快速、有效深受臺灣頂尖企業信賴。瀏覽由Robert Walters臺灣提供的各種客製化服務與資源。

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聯繫我們

真正具有國際視野並深耕在地市場的招募機構,我們服務臺灣市場超過 10 年,並在臺北設有完善的辦公室。

聯繫我們
職缺

我們各領域的專業顧問會用心聆聽您的理想與抱負,並與臺灣知名企業、機構分享您的職涯故事。

讓我們的團隊與您攜手開啟職涯的下一個精彩篇章。

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服務項目

我們為企業量身打造招募解決方案,以其快速、有效深受臺灣頂尖企業信賴。瀏覽由Robert Walters臺灣提供的各種客製化服務與資源。

探索更多
關於Robert Walters臺灣

在Robert Walters臺灣,招募絕不僅是一份工作。

我們明白,每個機會的背後都是改變人們生活的可能性。

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加入我們

人永遠是企業的核心,也是Robert Walters與眾不同之處,了解更多關於臺灣團隊的故事,加入我們讓職涯更進一步。

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聯繫我們

真正具有國際視野並深耕在地市場的招募機構,我們服務臺灣市場超過 10 年,並在臺北設有完善的辦公室。

聯繫我們

軟體-人工智慧工程與資料科學職缺

深耕軟體域多年,Robert Walters 臺灣的客戶橫跨大型跨國集團與知名企業,立即查看最新人工智慧工程與資料科學相關職缺。

職缺

已收藏的職缺

薪資: Negotiable

地區: Taipei

發佈日期: 2026年10月23日

A company seeks a Senior Machine Learning Engineer in Taipei to design end-to-end ML pipelines and develop AI-driven cybersecurity solutions for threat detection and prediction using advanced models.
已收藏的職缺

薪資: TWD1,000,000 - TWD2,000,000 per annum

地區: Taipei

發佈日期: 2026年10月23日

On behalf of our client—a leading high-traffic live-streaming and interactive video entertainment platform—we are seeking an experienced Data Scientist to join their core data science team. Operating with a mission to democratize data across the enterprise, the data team empowers internal stakeholders to seamlessly access, interpret, and derive valuable business insights from massive event-based datasets.
已收藏的職缺

薪資: TWD2,000,000 - TWD2,500,000 per annum

地區: Taipei

發佈日期: 2026年10月23日

We are looking for an AI Data Scientist to explore the intersection of Generative AI, LLMs, and quantitative strategy research. You will use AI pair-programming and agentic workflows to analyze large datasets, rapidly prototype ideas, build and evaluate models, and explore how AI can accelerate strategy development and decision-making.
已收藏的職缺

薪資: TWD2,500,000 - TWD6,000,000 per annum

地區: Taipei

發佈日期: 2026年10月23日

An organisation is seeking a high-calibre Data Scientist / Senior Data Scientist to join the elite tech-build and design unit of a prestigious global management consulting firm.
已收藏的職缺

薪資: TWD1,000,000 - TWD1,500,000 per annum

地區: Taipei

發佈日期: 2026年10月23日

We are looking for a Data Analyst – Market Intelligence to turn large-scale consumer, sales, and behavioral data into actionable business insights. You will analyze multiple data sources, define business metrics, evaluate marketing and product performance, and build dashboards that help stakeholders understand market trends and make better commercial decisions.
已收藏的職缺

薪資: TWD2,000,000 - TWD3,000,000 per annum

地區: Taipei

發佈日期: 2026年10月23日

We are partnering with a leading cloud and technology solutions provider seeking a Data & AI Technical Lead to drive technical strategy, solution architecture, and enterprise project delivery. This role will lead cross-functional engineering teams, develop scalable Data & AI capabilities across major cloud platforms, and collaborate with business stakeholders to turn complex requirements into practical, high-impact solutions.
已收藏的職缺

薪資: Negotiable

地區: Taipei

發佈日期: 2026年10月21日

We are looking for a skilled AI Engineer. This role involves researching and applying cutting-edge AI technologies, including Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and LLM fine-tuning, to drive AI-powered solutions in the banking industry. If you are passionate about AI-driven innovation and eager to work on end-to-end data applications, we encourage you to apply.
已收藏的職缺

薪資: Negotiable

地區: Taipei

發佈日期: 2026年10月21日

A tech company in Taipei is seeking a Senior AI Tech Lead to lead an AI team and drive solutions in AI, algorithms, and digital twin technologies.
已收藏的職缺

薪資: TWD2,000,000 - TWD3,000,000 per annum

地區: Taipei

發佈日期: 2026年10月21日

A company seeks a Senior Machine Learning Engineer in Taipei to design end-to-end ML pipelines and develop AI-driven cybersecurity solutions for threat detection and prediction using advanced models.
已收藏的職缺

薪資: Negotiable

地區: Taipei

發佈日期: 2026年10月21日

An organisation in Taiwan seeks a Quantitative Researcher to develop systematic trading strategies, build predictive signals, and explore market inefficiencies within a collaborative, innovation-driven environment.