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You will work with the team to develop features and maintain an online translation system. 此工作主要內容： 1. WritePath 金融資訊新 SaaS 產品全端開發 (PHP and Vue.js )。 2. 參與 WritePath turn-key system (系統及AI/ML) 設計建置。 3. 系統規劃、架構規劃、資料庫規劃，新產品將

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

擇權交易員(高頻/量化交易員) 加入我們。 【工作職責】 ・提升目前選擇權造市業務市佔率與獲利。 ・與計量研究員合作使用ML優化造市模型。 ・開發選擇權交易策略。 ・評估其他亞洲市場選擇權交易可行性。

熟練運用 VSCode、PyCharm 或其他主流 IDE 11. 注重程式碼品質和維護性 【 加分條件 】 1. 專長於 Python 和機器學習（ML） 2. 熟悉關聯式資料庫操作和開發，例如 SQL 指令等 3. 熟悉 Atlassian JIRA 專案管理平台 4. 使用過 Jupyter

Google welcomes people with disabilities. Minimum qualifications: Bachelor’s degree in Computer Science or related field, or equivalent practical experience. Experience with software development in one or more programming languages (e.g., Python, Java, C++ or equivalent). Experience with data structures and algorithms. Preferred qualifications: Experience applying ML based solutions in the context of testing, bug, crash, and error analysis. Experience working with microcontrollers (e.g., Raspber

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

NVIDIA’s Solution Architecture team is looking for a Data Science focused Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms. We work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for

應徵者請說明或排序，個人感興趣的材料類別：電子陶瓷MLCC；磁性材料MLCC；塑膠橡膠；半導體封裝；樹脂塗料；覆銅箔板；特用化學；農業化學...等。 =================================== 1.銷售化學材料，完成年度營業目標。 2.除既有客

▸ Participate in the entire development lifecycle of the MLOps platform ▸ Collaborate with Front-end developers to integrate user-facing elements with server side logic ▸ Collaborate with data engineers and data scientists to assist in the practical implementation of complex domain knowledgecould accelerate the ML dev cycle (MLOPs). ▸ Ability to adapt flexibly to various unforeseen and unfamiliar challenges ▸ Build reusable code and libraries for future use

▸ Participate in the entire development lifecycle of the MLOps platform ▸ Design robust and scalable systems and implement new functionality and product enhancements ▸ Identify potential system performance bottlenecks and improve them ▸ Translate vague business requirements into practical and dividable user stories ▸ Provide technical guidance to colleagues and establish a developer-friendly environment. ▸ Build reusable code and libraries for future use