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1.資料前處理: 數據清洗、特徵工程、特徵選取 2.應用數據挖掘、機器學習、深度學習、最佳化等技術，建立推薦與決策模型 3.成效指標設計，模型驗證與優化 4.模型生命週期管理，保持預測效

The Role: We are seeking an exceptionally talented data scientist with strong modeling and programming skills to join our team. In this role, you will work closely with data science team and technologists across the firm to develop appropriate features and metrics for data processing. Perform analysis and generate models of financial datasets using machine learning techniques Process, clean and verify the integrity of unstructured data and turn data into valuable insights Develop and create data

1. 規劃、執行數據分析或建置預測模型，有效識別商機、客戶風險或行為屬性，以協助達成商業/風險決策或效率 2. 透過顧客交易行為及非結構化資料路徑分析、斷點等分析方法，優化服務體

【What a Data Scientist does in Titansoft？】 1. Apply statistical and machine learning techniques to build models for user classification, fraud detection and other objectives 2. Mine, analyze and visualize data from company databases to drive optimization and improve product development, marketing techniques and business strategies 3. Identify, understand and solve business problems based on the company's overall targets. 4. Coordinate with different feature teams to implement models and design p

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

▶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

- Mengumpulkan data-data yang di-input oleh karyawan dan diolah sesuai kebutuhan. - Membuat query atau report dari sistem SAP Business One. - Mengawasi proses penggunaan sistem SAP Business One di perusahaan.

工作內容 1.規劃並開發AI、Big data模型。 2.智慧製造、AI、AIoT、Big data、邊緣系統相關AI軟體開發及運維。 3.配合部門主管工作調度、分配。

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)知識圖譜(Knowledge Graph) (2)向量資料庫(Vector DB) (3)多模態大語言模型 (MLLM) (4)應用：如輿論分析(Opinion analysis)等

【工作內容】 【工作內容】 1. 未來預測演算法開發。(處理時間x空間之相關數據資料) 2. 持續優化並修正AI gen AI自我學習演算系統流程與設計。 3. 數據分析、應用之相關程式開發。 4. API、爬蟲數