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Infocast is looking for a data engineer to help optimize, expand, test, and maintain the data pipeline architecture across all of our databases and for our upcoming products. You will be working closely with our software engineers and data scientist to understand and implement database requirements, troubleshoot issues, and improve data reliability and quality. The ideal candidate should have a solid understanding (both theoretical and practical) of machine learning techniques, and be comfortabl

拓展數據科學應用，掌握創新AI技術趨勢，並進行模型落地與深化： 1.『大語言模型』研究：地端生成式AI導入、設計模型運行架構與模型應用規劃。 2. AI技術推廣與導入：瞭解子公司需求，針對共通

⚡公司和產品介紹： 集團旗下有20多家子公司。近期集團積極涉入轉型，致力於翻轉台灣的網路生態，力求挑戰實力雄厚的外來產品。產品APP 是我們挑戰市場的主力，我們以遊戲使用者為開端，致力

▶數據科學家 日商廣告行銷商 458005 【職務內容】 1.和團隊成員一起開發一個系統 2.該系統將結合機器學習模型 3.自動生成用於商品或服務廣告的文本和圖像 【企業福利】 ・獎金一年二次、依公

學歷需求: 資訊工程相關、統計學相關、電機電子工程相關之碩士、博士 執行AI技術開發專案。大數據分析與建模。 舉辦內部統計與數值分析的教育訓練。 新AI技術導入，並協助成熟專案橫向展開。 熟悉

Our Core Analytics Data Science team is actively shaping the future of TV as it goes digital, using data to improve our platform. Our devices are powerful but light and delightful to use. Our advertising software empowers marketing professionals to connect with real people across all channels, including TV, capturing consumers’ attention when and where it matters most. We also develop algorithms to enable our content publishing partners to find and engage consumers. Work directly with

專業需求： MVC概念是必須的，熟C/C++，Python，Java及了解GPT。 具備開發語意相關演算法及深度學習模型訓練經驗尤佳。 對人工智慧有無盡的學習慾請放馬過來。

LRS is an executive searching firm. There are several SW Engineer (BE/FE/UIUX/QA/Data/DevOps/SRE/PJM/PM/iOS/Android/IT) vacancies from different companies, please contact Blair for further details. LRS是一間高階獵頭公司. 我們有來自不同產業的工程師職缺 (BE/FE/UIUX/QA/

我們在正尋找理念相同並一起成長的團隊夥伴，我們希望： 以使用者需求驅動，與團隊成員一起優化系統，讓每一項優化帶動更高轉換、更高成長率 Self-motivated、享受突破困難解決問題的快感 自我要求高

Rosetta.ai helps fashion e-commerce uncover consumer's shopping preferences and provide personalized shopping experiences to consumers. We're making e-commerce merchants have enterprise-level AI backup on day 1. We are seeking Deep Learning Engineers, dedicated to Recommender System, to join our data science team. The ideal person will have industry experience working on a range of classification and optimization problems, e.g.click-through rate prediction, recommendation systems, or search