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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

detection/classification/recognition/tracking, behavior analysis, …) 和聲學處理 (Abnormal noise detection/classification, …) 3. 針對於不同的嵌入式系統的AI加速晶片(非GPU)進行模型壓縮與優化,以符合速度與準確度要求 4. 協助設計與建立MLOps流程與Data pipeline的介接工具

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

加入 LSC 和我們一起打造電動載具產業的霸業！ 【Responsibilities】 • 透過 C / C++ 於 Linux 等平台優化轉譯基於 AI / ML / DL 演算法部署於邊緣運算之裝置 • 車聯網 GNSS, IMU 等資料之相關模型演算法之時間與空間效能

Google welcomes people with disabilities. Minimum qualifications: Bachelor's degree in Computer Science, related technical field, or equivalent practical experience. Experience collaborating with various teams such as developers, test engineers, and product management. Preferred qualifications: Experience applying AI/ML in automation or data analytics use cases. Experience developing infrastructure and tools to streamline and scale operational workflow. Experience developing back-end services or

Job Description Memahami tujuan bisnis dan mengembangkan model yang membantu mencapainya, bersama dengan metrik untuk melacak kemajuannya Menganalisis algoritma ML yang dapat digunakan untuk memecahkan masalah tertentu Menjelajahi dan memvisualisasikan data untuk mendapatkan pemahaman tentang data Mengidentifikasi perbedaan dalam distribusi data yang dapat mempengaruhi kinerja saat menerapkan model di dunia nyata Memverifikasi kualitas data, dan/atau memastikannya melalui pembersihan data Mengaw

[主要職務內容] 依據專案需求進行數據建模、模型評估、並協助模型發佈及維護。 提供ML / AI / DL解決方案的數據建模，挖掘，模式分析，數據可視化，以及軟體工程。 數據模型之根因分析。 模型優化與

術，建立完整的廣告、獲客、KYC、分眾、成效、再行銷的平台。 3. SmartWork 智慧助理，基於人工智能（AI）和機器學習（ML）技術打造企業內部 AI 助理，打造各式企業內部應用，提升企業內部溝通效率。 我們需要具備以下

The role requires the ability to evaluate and develop AI/ML technologies, especially in vision, acoustics and text domains. You will work on developing neural network models and data analytics to solve real-world problems. - Apply AI/ML technologies on problem formulation, model development, and deployment for use - Research and develop state-of-the-art AI/ML technologies - At least 5 years working experience in AI domain 這個工作需要評估