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公司介紹： 我們是 一間跨國的AI 轉型解決方案供應商 ，使命是「AI 賦能」，讓客戶能夠以AI 為核心來達成事業轉型、加速、及創造新商業模式的目標。公司提供以AI 驅動的雲端服務及行銷科技，協助企業

我們昕力資訊是一家規模超過550+人的B2B跨國軟體設計與開發公司，主要提供企業軟體建置與顧問服務，專精於AI智能客服機器人、Fintech與數位銀行、行動壽險、行動App應用、大數據等系統解決方案

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

我們熱愛創新技術的研發，希望所開發出的產品能充滿溫度並散播歡樂，期待充滿熱血的夥伴加入我們的行列，挑戰自我創造更多膾炙人口的作品。 職責： 評估和實施最新的AI技術，特別是LLM（如ChatGPT

Superb technical, research and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively. This person must be comfortable working with a team of top-notch developers and collaborating with our business team. We want people who innovate and love solving hard problems. Key responsibilities: - Fine tune and optimize LLM's - Building and maintaining data pipeline including data processing and data analytics - Developing and maintaining efficient and sca

【What to expect】 Here at iKala, we are developing new algorithm and data pipeline which powers business decision in marketing and in-house analytic platform. You will cowork with teams of working in Machine Learning, Data Acquisition, Data Scientist and Data Analysis to develop or optimize algorithm on large scale multi-modal data. 【What you will be doing】 1. Develop in house multilingual NLP models ( Chinese, English, Japanese ) 2. Tuning and optimize algorithm to handle

【職務情況說明】 Return Helper為跨境電商逆物流服務商， 自行開發倉儲逆物流/退貨平台系統提供台灣及全球賣家使用，讓退貨方式及倉儲管理更便利。 因應內部系統新功能開發、更新、維護等與日俱增

#### 主要職責 參與後台系統開發工作，確保代碼質量和系統性能。 研究學習前後端、LLM 新技術，並分享與團隊分享研究成果。 #### 職位要求 對技術和系統優化具有熱情。 對語言模型（LLM）技術

Research and evaluate different AI and Deep learning approaches to determine the most effective solutions for given problems Design AI and LLM system pipelines, leveraging libraries like PyTorch, SD, and LangChain (et al.) Build, train, evaluate, and optimize AI models using techniques like deep learning, reinforcement learning, computer vision, NLP, etc. Work closely with data engineers and analysts to implement models in production environments. Monitor and maintain AI systems in production, e