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工作內容： 1.進行大型語言模型(GPT等)的研究與應用導入。 2.開發與導入NLP技術於各部門業務場景，包括但不限於： (1)LangChain (2)知識圖譜(Knowledge Graph) (3)輿論分析(Opinion analysis) 3.設計與開發文字探勘模型，協助內

工作說明 1. 負責機器學習、深度學習模型訓練包括文本分類 (text classification)、知識庫構建 (knowledge graph construction)。 2. 善於自然語言處理業界最新動態、實驗業界最新研究成果。 3. NLP 建模並有實際項目使用經驗。 任職要

用所學技能獲得真實開發經驗，一起打造最新潮、有趣的社交互動體驗。 【Job Description】 1. 設計、開發和優化 NLP 領域生成式 AI 模型，根據人物設定調適 AI 回應、創造個性化的對話體驗。 2. 研究開源 LLMs 對產品

大家好！我們是 零一成長行銷公司 歡迎加入我們目前團隊的開發部隊，團隊 未來即將部屬不同跨領域工程技術 ，包含了專業的SEO、前後端、數據/ML，目前也將引進AI技術作為新武器 ，因此零一行銷

1. 擷取、管理、處理數據。 2. 整理龐雜的巨量資料(各產品結構與非結構資料等)，以洞察商機。

Trend Micro is one of the first cybersecurity companies to adopt machine learning and AI. We have more than 15 years of experience applying AI to dealing with malware, malicious URLs, spam emails, botnets, and many more. The changes brought about by AI show no signs of slowing down. Top-tier AI researchers and conferences announce astonishing breakthroughs almost every day. Numerous AI start-ups have the full attention of venture capitalists as they use their

The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.

【我們希望您有的特質】 ★ 樂於團隊合作與知識分享 ★ 從客戶觀點出發的同理心 ★ 對技術保持熱情和好奇心 【您的任務】 ★ 參與各大AI專案，解決集團流程痛點，翻轉集團作業效率 ★ 使用統計或

工作職責： 開發新聞內容推薦系統核心演算法 基於用戶行為和喜好建構個性化推薦 負責內容推薦、文本挖掘、用戶模型建設等 研究業界最先進的推薦算法

AI, Deep Learning, and Data Scientists (Entry-level) Avalanche Computing deep learning data scientists deliver amazing quality models and algorithms by combining state-of-the-art computer vision, image processing, time series analysis, and deep learning. As a data scientist/deep learning engineer on our team, you'll develop and extend these algorithms, working with the customers who made vertical AI in medical, manufacturing, construction, and so on. And make the AI model spanning the border of