Tìm kiếm việc làm online mới nhất!

主要負責內容為： 1. 建構各種Data Collection Pipelines 2. 建立自動及半自動化的Model Training Pipelines 3. 使用既有或引進新的工具來管理Datasets/Models/Configs 4. 部署ML Applications 5. 監控ML 服務以及協助除錯

公司介紹 金融保險業(產險)，在台成立60年，為日本在台子公司。2022 亞洲最佳企業雇主獎， 視員工為珍貴資產，對於幸福職場的營造及專業人才的育成不遺餘力，2022年度首次參賽即獲《HR Asia》(亞洲權威性

＊請至 【 https://mobagel.typeform.com/to/ojShbwVv 】 投遞履歷，於 104 投遞者恕不受理，謝謝你的協助＊ 1. Conduct data science projects to help clients drive solutions and solve business problems from various domains using a wide range of data science techniques, including but not limited to Machine learning, data visualization, statistics, and so on. 2. Design, develop and maintain

定義分析命題，藉由生成式AI/深度學習/機器學習/統計分析等方法解決商業問題。 3.協助MLOps工具之導入規劃、評估、測試、上線...等任務。 4.研究如何將AI/深度學習/機器學習等技

Roles & Responsibilities: 1. Designing and Optimizing Large Language Models: Develop and fine-tune large language models tailored for specific applications. 2. Collaboration with MLOps Engineer: Work closely with MLOps engineers to prototype custom solutions, ensuring seamless integration with existing systems. 3. AI/ML Modeling Expertise: - Demonstrate hands-on experience in AI/ML modeling, particularly with complex datasets. - Possess a strong understanding of the theoretical foundations of AI