「Software Engineer III, AI/ML, Cloud AI Infrastructure」的相似工作

As a Senior Principal Software Engineer, you'll have the chance to architect cutting-edge AI tools alongside API and web design solutions, propelling the advancement of AI throughout its lifecycle. Your role involves spearheading solution development and ensuring release readiness while collecting insights into best practices across various AI product portfolios and business sectors. Furthermore, you'll collaborate closely with your team, providing mentorship and guidance in the design and development of AI products. You may not be familiar with artificial intelligence. Still, if you possess abundant programming skills and have passion and curiosity in AI area, you may be the one who could work with us to grow together. You will: -Successful deployment of AI-based tools and systems that significantly improve operational efficiency or customer experience. -Development of innovative algorithms or models that advance the state-of-the-art in AI technology. -Integration of AI solutions into existing workflows or platforms, enabling automation and data-driven decision-making. Collaboration on interdisciplinary projects that leverage AI techniques to solve complex problems in fields. -Leadership in guiding teams through the entire lifecycle of AI projects, from conception to deployment and maintenance. Mentoring and coaching junior engineers to foster their growth and development in the field of AI. -Contribution to open-source AI initiatives or communities, fostering collaboration and knowledge sharing within the industry. Adoption of best practices in AI development, including ethical considerations such as fairness, transparency, and accountability. Continuous learning and staying updated with the latest advancements and trends in AI research and technology.

CloudMile是一支年輕的創業團隊，也是亞洲領先的雲端基礎設施、應用、資料、AI 和安全等解決方案專業服務提供商，並且為第一個獲得北亞基礎設施和機器學習專業知識的Google首要合作夥伴。 作為“ CloudMiler”，我們堅信敏捷、當責以及精進的價值觀。在這裡，我們和一群優秀的人才一起工作，也和公司一起快速成長。 【工作內容】 - 與客戶及跨職能團隊緊密合作，依據需求設計和實施企業級GenAI解決方案，評估技術可行性並定義專案成功指標。 - 作為GenAI技術顧問，協同團隊與客戶溝通複雜技術方案。 - 協同團隊探索與發展GenAI產業應用場景，並進行概念驗證展示，包括但不限於LLM fine-tune/RAG、AI Agent。 - 深入運用雲端AI/ML服務（如Google Cloud Vertex AI、AWS SageMaker），構建可擴展的GenAI解決方案。 - 完善團隊技術開發框架與流程，評估與定義技術發展方向，指導團隊成員確保專案高品質交付。 【職務需求】 - 深入理解最新LLM技術及其企業級應用。 - 具備出色的技術領導力，能夠培養團隊技術能力並推動創新。 - 具有向C-level高管展示和溝通複雜技術方案的經驗。 - 精通容器化技術（Docker、Kubernetes）、微服務架構與CI/CD實踐經驗。 - 具備設計和實現高性能、可擴展API的豐富經驗（如使用Python FastAPI/Flask等）。 - 具有在Google Cloud或AWS平台上設計和部署大規模AI解決方案的豐富經驗。 - 精通LangChain, RAG, Vector Embedding, Vector Database等GenAI開發框架與技術，並有大型項目實施經驗。 【加分項目】 - 具備領導技術團隊經驗，建構團隊統一技術發展框架。 - 擁有Public speak經驗，擔任過技術論壇主講者。 - 運用open source model部署於企業私有架構，並用GPU cluster進行post-training。 - 精通Transformer架構，深入理解自注意力（self-attention）機制及其變體。 - 具備AI/ML相關專業認證，如Google Cloud Professional Machine Learning Engineer或AWS Machine Learning Specialty。 - 熟練掌握主流深度學習框架（PyTorch、TensorFlow）及其在GenAI中的應用。 - 在GenAI領域有技術文章發表或開源項目貢獻。

我們正在尋找一位對生成式 AI 充滿熱情、具備自學與實作能力的 AI 工程師，加入我們的數位發展團隊。 此職位的核心任務包括： ●參與與維運公司導入之 生成式 AI 開源專案，負責功能優化、二次開發與模組整合 ●根據內部需求設計與實作自動化工具（如 Chatbot、文件摘要、流程自動化等） ●協助推廣與導入 AI 工具於各部門日常工作中，包含使用者教育訓練與使用經驗回饋收集 ●研究並實驗市面上各類生成式 AI 解決方案，評估其可行性並提出導入建議 ●撰寫技術文件、開發紀錄與專案成果報告，清楚呈現工作成效 我們重視的是 實作經驗與學習能力，若你熱愛新技術、擅長解構問題、樂於分享成果，我們誠摯邀請你加入！

工作內容 1. 大型語言模型研究：深入研究和應用大型語言模型（如ChatGPT）以解決公司特定領域的挑戰。這包括了解模型的潛力和限制，以及如何為特定應用定制這些模型。 2. Python開發與應用：利用基礎Python編程技能，配合現有工具（如LLama2、LangChain）和框架，開發和整合AI功能以滿足公司產品的具體需求。 3. RAG應用開發：特別著重於RAG（Retrieval-Augmented Generation）技術的應用和開發，探索如何將其整合到現有的工作流程和解決方案中。 4. 技術追蹤與評估：持續追蹤AI和NLP領域的最新進展，特別是與ChatGPT相關的發展，評估其在公司特定應用中的可行性和有效性。 需求資格 1. Python編程經驗：具備基礎Python編程能力，熟悉基本的程式設計和開發流程。 2. ChatGPT應用經驗：有使用ChatGPT或相關大型語言模型進行專案開發的經驗，了解其在各種應用場景中的潛在用途。 3. NLP和RAG了解：對自然語言處理（NLP）有基本了解，並對RAG技術有實際的興趣或經驗。 4. 問題解決與團隊合作：展現出優秀的問題解決能力和團隊合作精神，能在多變的工作環境中承擔責任。 5. 學習與適應新技術：對新技術和工具保持開放的態度，願意學習並快速適應行業變化。

【職務描述】 設計與開發數據串接流程，優化資料處理效率，並支援 Azure SQL 環境下之資料建模與 Power BI 報表資料結構建置。 【工作內容】 - 重建 Azure SQL DB 上的資料架構與外部資料串接流程（含 API/SFTP/XML/txt 等格式轉譯） - 建置透過 API 與外部資料庫的資料交換流程（Inbound/Outbound） - 使用 SSIS 或其他 ETL 工具將外部資料交換匯入 SQL DB - 撰寫與優化 SQL 查詢、Stored Procedure、Python scripts，提升資料表效能與可維運性 - 開發 Power BI 所需的資料結構，支援報表需求 - 協助資料建模與資料倉儲設計，建立資料治理基礎

⚠️Important Notice – Read Before Applying This is not a model training or data science role. We are seeking a software engineer focused on AI framework development, not just using existing tools. ✅About the job Your primary responsibility will be to design and implement sophisticated APIs and runtime environments for our LPU hardware. This requires deep exploration of existing frameworks, coding complex integrations, and optimizing performance. If you are passionate about building the AI infrastructure that enables others to run models, this role is for you. We are looking for a highly skilled software engineer to design and optimize the LPU's AI software stack and runtime environment. ✅Key Responsibilities • Develop and optimize the LPU runtime and software stack, integrating with Hugging Face Transformers, llama.cpp, vllm, etc. • Design and implement APIs to enable efficient model execution on our hardware. • Explore and modify existing AI frameworks to ensure smooth adaptation for the LPU. • mprove runtime performance for heterogeneous computing environments. • Collaborate with hardware teams to optimize hardware-software interactions. • Contribute to the evolution of AI model deployment frameworks. ✅Qualifications • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related fields. • Strong proficiency in C++ and Python, with experience in performance-critical software. • Hands-on experience with AI frameworks (Hugging Face Transformers, llama.cpp, vllm), beyond just using them—modifying, extending, or integrating. • Understanding of runtime systems and heterogeneous computing. • Experience with low-level optimizations, memory management, and parallel execution. • Familiarity with software development tools (Docker, Git, CI/CD). • Analytical thinking and problem-solving skills. ✅Nice to have • 3+ years of experience in compiler technologies, runtime systems, or AI hardware acceleration. • Understanding of hardware-software co-design principles. • Experience with CUDA, ROCm, or other GPU programming frameworks. • Contributions to open-source AI/ML projects. ✅Any additions • Work on cutting-edge AI framework development. • Collaborative and high-caliber engineering team. • Competitive salary and benefits. • Career growth in AI software and system design. ✅How to Apply Send your resume and cover letter. If you have framework-related contributions (e.g., modifications to AI runtimes), please highlight them. Join us in building the AI infrastructure of the future.

台灣人工智慧學校致力於人工智慧技術知識的推廣與人才培育，為產業學員提供專業的 AI 技術與知識培訓。我們正在尋找一位具備紮實技術背景、熱忱於知識分享的 AI 工程師 加入我們的 AI 團隊，共同肩負起提升台灣產業 AI 競爭力的使命。 本職位將專注於 AI 技術知識的教學傳遞、實作導向教材的開發、以及前沿技術的研究與應用。您將有機會在一個充滿挑戰與成長的環境中，與一群優秀的專業人士協作，共同為台灣 AI 產業的發展做出貢獻。 ▌工作職責： ● AI 技術教學： 　o 負責講授人工智慧、機器學習、深度學習等相關技術課程，對象包含具備不同技術背景的產業學員。 　o 需能根據學員程度與課程目標，清晰、有條理地傳達複雜的技術概念，並引導學員掌握核心知識與技能。 　o 課堂中需進行實作演練指導，並即時解答學員提問，確保教學品質與學習成效。 ● AI 教材開發： 　o 設計與開發實作導向的 AI 教材，內容涵蓋程式碼範例、Low-code 工具應用、教學簡報、案例分析等形式。 　o 教材開發需緊密結合產業應用案例，確保教材的實用性與關聯性。 　o 定期更新與優化現有教材，以反映 AI 技術的最新發展趨勢。 ● AI 技術研究與開源工具整合 ： 　o 持續關注生成式 AI (Generative AI)、大型語言模型 (LLM) 等前沿技術的發展，並進行深入研究。 　o 評估開源 AI 工具的適用性，並將其整合應用於教學與教材開發中。 　o 探索運用開源工具開發創新 AI 應用，並將成果貢獻於開源社群的可能性。

• Author automation workflows in Python, the Robot framework, and Powershell to make sure a Windows system with BMC, UEFI, NVidia GPUs can boot correctly. • Run stress tests on said system. • Automate firmware/driver upgrades on said system. • Debug booting/upgrades when an error occurs.

[Overview] Join our team and play a pivotal role in Trend Vision One™, a cutting-edge cyber defense platform leveraging Trend Micro's security and Zero Trust framework to protect enterprise ecosystems. We are looking for an experienced full-cycle cloud developer to be part of a high caliber multi-disciplinary team. Your focus will be on developing high-quality security services for Trend Vision One™ and collaborating with stakeholders to navigate the evolving cyber threat landscape. This role offers a blend of technical challenges and opportunities for skill development in communication and strategic planning. You will work with cross-functional teams (architects, product managers, developers, QA, and UX/Visual designers) in software engineering across the organization, developing products that satisfy customer needs, solve their problems, and achieve customer success. [Responsibility] 1. Responsible as a full-cycle developer for delivering features with high quality to achieve business goals. 2. Work closely with stakeholders for requirement discussions, cross-team collaboration, and troubleshooting. 3. Automate and improve the development and release process. [Qualification/Requirement] # Essential 1. 2+ years of experience in developing web applications by using microservice architecture with RESTful API interface design. 2. Familiarity with developing cloud service solutions using AWS, Azure, or GCP. 3. Familiar with Golang, Python, or Java programming languages. 4. Experience in unit testing, component testing and end-to-end testing, etc. 5. Experience in development with relational or NoSQL databases, such as PostgreSQL, MySQL, Redis, Dynamo, or ElasticSearch. 6. Experience in CI/CD and agile software development with a DevOps culture and mindset. 7. English communication skills, enabling close collaboration with global team members. # Nice-to-have as a plus 1. Experience in cloud service architecture design from scratch, especially with serverless technologies. 2. Experience in software build and deployments, such as Terraform, GitHub Actions, Jenkins, AWS CodeDeploy, or Azure DevOps. 3. Experience in service monitoring and alert tools, like Grafana or Kibana. 4. Experience with containerization technologies, e.g., Docker, Kubernetes, or AWS ECS. ***若無資訊相關正職工作經驗請統一至R0006775 【新鮮人募集！】 Cloud Engineer 投遞履歷(連結: https://www.104.com.tw/job/8j3ec?jobsource=bing)***

【Job Description】 We are seeking a data scientist to address business challenges and fulfill the needs of the product team through data science and machine learning methodologies. This role involves transforming research outcomes—such as models or metrics derived from specific calculations—into scalable products, while also maintaining and supporting existing products. 【Responsibility】 - Define problems from a data science perspective based on business scenarios and propose actionable solutions derived from analytical results. - Independently execute assigned development or experimental projects, including model training, feature extraction and transformation (ETL), and general analytical tasks. - Communicate and explain our research projects to other cross-functional teams, ensuring stakeholders understand our deliverables and insights. 【Must Have】 1. A degree in mathematics, statistics, or a related field. 2. Proven experience in developing machine learning models and bringing them into production. 3. Practical experience in designing product performance evaluation metrics. 4. Familiarity with the design and implementation of A/B testing, with the ability to independently analyze test results. 5.Proficient with tools such as Python, PostgreSQL, BigQuery, and Trino. 6.Excellent communication skills and a collaborative team spirit, capable of working closely with both technical and non-technical teams. # Nice to Have# 1. Hands-on experience with fundamental technologies including Docker and Kubernetes. 2. Hands-on experience with common scheduling tools like Airflow or Argo Workflow. More Info>>>https://www.ikala.tv

[職務概述] 研華的數據中台已具一定規模，正邁向下一階段的效能優化與架構升級。邀請你加入一個數據驅動的團隊，參與核心資料平台的建置與優化，並有機會： 深入大型資料流架構，解決高效能、穩定性的挑戰。 自主挖掘現有系統的改進空間，提出並實作優化方案。 與跨部門緊密合作，確保數據服務能支撐多元業務場景。 我們期待一位細心、主動、有推進力的工程師，不僅完成交付，也能驅動團隊持續前進。 [必備條件] 3-5 年資料工程或相關經驗。 熟悉資料流架構設計，具備 ETL / ELT 開發經驗。 熟練資料 API 串接設計與實作，有第三方 API 整合經驗。 熟悉資料庫技術（SQL / NoSQL），具備資料庫效能調校及維運經驗。 具備 Python 或 .NET Core的實作經驗，作為主要開發工具。 良好的專案管理與溝通能力，能主動推動專案並與多方協作。 [加分項目] 有分散式架構經驗（如 Kafka、Spark、Kubernetes 等）及其應用經驗。 具備資料安全、權限控管經驗。 有實務雲端資料平台經驗（如 AWS, Azure, GCP）。 有數據治理、資料血緣、品質管理經驗。 曾負責/主導中大型資料專案，具備「從 0 到 1」或「持續優化」的推動能力。 [Summary] Advantech data platform has already reached a significant scale and is now moving toward the next phase of performance optimization and architectural enhancement. You will join a data-driven team to participate in the construction and optimization of our core data platform, with opportunities to: Dive deep into large-scale data architectures to tackle challenges in performance and stability. Proactively identify areas for improvement within existing systems, propose, and implement optimization solutions. Collaborate closely with cross-functional teams to ensure data services effectively support diverse business needs. We are looking for an engineer who is detail-oriented, proactive, and capable of driving projects forward—someone who not only delivers but also pushes the team to continuously improve. [Requirements] 3-5 years of experience in data engineering or related fields. Familiar with data pipeline architecture design; experience in ETL/ELT development. Proficient in designing and implementing data API integrations, including third-party API integrations. Solid experience with database technologies (SQL / NoSQL), including performance tuning and maintenance. Hands-on experience with Python or .NET Core as primary development tools. Strong project management and communication skills, with the ability to independently lead projects and collaborate across teams. [Nice to Have] Experience with distributed architectures (e.g., Kafka, Spark, Kubernetes) and their practical applications. Knowledge of data security and access control. Practical experience with cloud-based data platforms (e.g., AWS, Azure, GCP). Experience in data governance, lineage, and quality management. Proven track record in leading or being a key contributor to medium-to-large-scale data projects, with the ability to drive initiatives from the ground up or continuously enhance existing systems.

「台達研究院」(Delta Research Center, DRC)成立於2013年，為台達集團總部研發單位，除致力於大數據分析及物聯網應用與解決方案的開發與整合，加速企業轉型成功，也積極與產官學研生態體系協作，以開放創新模式，創造多贏生態圈。2022年台達研究院進入下一階段，專注於研發台達下下世代(next-next-generation)產品或解決方案之前瞻技術。 在「台達研究院」之下，團隊專注在模擬最佳化、機器人演算法、數位孿生建模與應用，發展具商業價值的AI應用與解決方案。 本職缺主要工作內容: 1. 以機器學習、深度學習、統計與作業研究等技術，分析內外部客戶資料，提供合適的解決方案 2. 研究與開發人工智慧之演算法、應用和服務 3. 設計、協助及管理資料分析及最佳化專案、培訓等業務推動 4. 參與Smart Design, Smart Manufacturing/智慧製造, 節能最佳化等產業轉型專案。 你/妳將會應用資料分析技術於以下3個類別的問題 1. Smart Design * PCB layout optimization * Carrier Design * Simulation Automation * Design Parameter Optimization 2. Smart Manufacturing * Image Processing * Visual Positioning * LLM-based Application * Digital Twin Simulation * Path planning * Machine Parameter Optimization * Factory Layout/Logistic Optimization 3. Energy Saving * Time Series Analysis * Cooling Strategy Optimization

About us The AI Lab at Quanta is focused on empowering the company through AI. We develop AI algorithms and software solutions that not only enhance our products but also optimize productivity across various functions within the organization. We also provide AI information and knowledge for the executives from different business units for strategic decision-making. The lab fosters innovation, encouraging groundbreaking ideas to push the boundaries of AI and drive transformative change. Job description As a data scientist in the AI Lab, you will have the opportunity to work closely with project managers, software engineers, and other stakeholders to develop AI-powered solutions for the diverse functional teams, including engineering and manufacturing. You will have access to a remarkable computing resource (100+ GPUs and 1000+ CPU cores) enabling you to develop the models and algorithms and experiment with state-of-the-art algorithms. Responsibilities ●Execute data science and artificial intelligence projects, from project inception to completion. ●Develop and implement models or algorithms to solve engineering and manufacturing problems. ●Collaborate with project managers, software engineers and other stakeholders to develop data science and artificial intelligence solutions. ●Stay up-to-date on the latest data science and artificial intelligence trends.

我們是由一群平均年齡30歲的年輕人組成，快速發展中的新創公司，希望透過我們的創意與技術，讓這個世界變得更美好。 【關於 Ocard】 Ocard 成立於 2016 年，以數據為核心，幫助商家輕鬆實現 OMO 顧客經營。 我們打造完整且輕量化的 CRM 平台、會員忠誠計畫、線上點外帶外送、電子票券商城以及數據分析工具，並提供集點、問卷等數位工具，讓各種規模和產業的品牌店家可以用最簡單輕鬆的方式打造一套屬於自己的顧客經營方案，輕鬆管理客戶關係、應用大數據分析、AI 自動化行銷以及精準再行銷。 Ocard 已陪伴超過 6,600 間店家打造專屬顧客經營與數位轉型計畫，拓展產業包含餐飲、零售、旅宿、休閒娛樂與美業等。店家遍佈全台灣、香港、馬來西亞，持續拓展台灣、海外地區中。 身為 Ocard AI 工程師，你有機會： 1. 直接接觸與運用最新的 AI/ML/GenAI 技術，參與 PoC 驅動的創新應用。 2. 全面參與 AI 專案生命週期，包括資料管理、模型開發、生產部署與營運維護。 3. 參與 LLM 服務的整合與應用，打造高效能的智慧化產品與解決方案。 4. 透過技術創新提升企業競爭力，並在 AI 領域創造實質商業價值。 【你需要做的事】 ● AI / Machine Learning / Deep Learning 專案： 1.與資料工程師、產品經理、技術團隊密切合作，透過 FastAPI 設計並開發可擴展、高效能的模型服務。 2.負責數據前處理、特徵工程（Feature Engineering）和模型推論（Model Inference），確保與內部及外部系統無縫整合。 3.持續追蹤並學習 AI/ML 新技術與演算法，進行 PoC（Proof of Concept）以評估其可行性和商業價值。 4.與跨部門協作，將創新技術應用於解決實際商業問題，提升產品競爭力。 5.建立並維護模型監控（Performance Monitoring）、版本管理（Model Versioning）及重訓（Re-training）流程。 ● LLM (Large Language Model) / GenAI 專案： 1.依據商業需求串接各種 LLM/GenAI 服務（如 OpenAI API、Anthropic Claude、Azure OpenAI Service），開發 NLP 相關應用。 2.針對文本分析、對話式服務、語意理解等需求，設計並實作解決方案。 3. AI Agent / Agentic AI Workflow 設計 4.開發 RAG（Retrieval-Augmented Generation）等流程，讓 AI 具備持續運作與決策能力。 5.整合公司既定工作流程，形成自動化工作流程。 【必備條件】 基本技能： ● 至少 2-3 年 AI 領域相關開發經驗，需使用 FastAPI 來進行服務建置 ● 需熟悉 Python 程式語言撰寫。 ● 熟悉 DevOps/MLOps 實踐作業: 至少需具備 git 版控、Docker 處理環境確保模型和系統的穩定部署與持續交付，若有 CI/CD pipeline 使用經驗佳 ● 保持對新技術的敏感度，熱衷於學習和分享最新的 AI/ML/GenAI 技術與方法，並積極應用於解決實際商業問題，以驅動創新和提升產品競爭力 AI / Machine Learning / Deep Learning 專案 / GenAI 專案： ● 理解基本統計學、主流機器學習與 AI 演算法，包含但不限於：Regression、XGBoost、LightGBM、KMeans、NLP…） ● 理解基本資料庫 SQL 撈取方法，包含但不限於：Clickhouse、MongoDB 和MySQL ● 理解主流 GenAI/LLM 演算法 API 串接方式，包含但不限於：OpenAI GPT, Antropic Claude, Google Gemini, Prompt Engineering 等 【加分條件】 ● 若理解 Java 或 Node.js 程式碼撰寫邏輯佳。 ● 具備設計和實現安全、高效 API 的經驗，確保服務在多方合作的環境中保持高可用性和數據安全性 ● 熟悉雲端服務，包含但不限於：AWS Sagemaker、AWS S3 Storage, Azure AI Service、Azure OpenAI API Service、AWS Bedrock、AWS S3 Storage 等 ● 熟悉 n8n 自動化流程設計，幫助公司部分維運工作進行自動化作業 在 Ocard 我們提供舒適自在的工作環境，期待每位夥伴都能夠在 Ocard 發揮長才找到舞台。我們注重團隊合作，同時重視自律，希望夥伴們不僅只是執行者，更能與團隊一起進步。加入我們，讓我們共同打造成就 Ocard！ 歡迎來跟我們聊聊你過去的工作經歷！也謝謝你用心準備履歷投遞我們的職缺。 我們會盡快看你的履歷並安排適合者面談，若不符合者也不另做通知，感謝你的體諒！

【工作內容】 資料收集 • 從製造系統提取結構化與非結構化資料 • 設計並實施自動化資料擷取流程，確保資料的準確性及即時性 資料整理與預處理 • 清洗、轉換及整合多來源資料，確保資料品質 資料分析與建模 • 運用統計分析與機器學習技術，發掘製造過程中的關鍵模式 • 開發預測性維護、品質控制及產能優化等模型 模型部署與維護 • 協助將開發的模型部署至生產環境，確保穩定運行 • 持續監控並優化模型表現 資料視覺化與報告 • 製作資料儀表板，支持決策制定 • 撰寫分析報告，提供資料洞見與建議 跨部門協作 • 與製造、資訊技術、品質管理等部門合作，理解業務需求 • 參與跨功能專案，推動創新解決方案 其他主管交辦之事項

<部門簡介> 先進工業電腦視覺解決方案新事業發展部(Advanced Industrial Computer Vision Solution BD, AICBD) 致力於解決製造業中的人工作業問題，提供全面且靈活的解決方案，幫助企業在市場競爭中脫穎而出。AICBD專注於利用人工智慧（AI）和深度學習技術，為製造業提供高效且精確的電腦視覺解決方案，旨在提升生產效率和產品品質。 核心目標： 1. 提升組裝直通率：通過AI管理平台蒐集和分析工站影像資料，減少錯、漏、反造成品質不良的因素和降低重工率，提高生產效率。 2. 提高產品品質：在關鍵步驟應用AI電腦視覺技術，確保產品出貨後穩定可靠，增強競爭力。 3. 縮短新產品導入時間：利用AI技術，加快新產品導入流程，協助工廠提升競爭力。 主要職責 : 1. 負責設計與開發AI電腦視覺/大語言模型之機器學習技術 2. 協同開發、佈建和測試解決方案於應用場域 3. 依專案需求研讀機器學習技術於電腦視覺/大語言模型相關應用議題 其他需求 : 1. 熟悉PyTorch、TensorFlow等深度學習Framework 2. 熟悉以下任一語言：Java, C/C++ 3. 熟悉以下任一模型部署框架: OpenVINO、TensorRT、ONNXRUNTIME 4. 熟悉 Git 與相關版控流程 5. 熟悉Linux維運、開發和分析類型産品佈署者佳 6. 相關AI頂尖會議發表如CVPR, ICCV, NeurIPS, AAAI, ICML, ICLR者佳 7. 串接LLM API經驗者佳 8. 具備良好溝通能力，主動積極學習

NVIDIA Diag Team is now seeking an extraordinary Data Scientist to solve challenges in the GPU server manufacturing process. As a team member, you will be designing a Machine Learning / Deep Learning platform for valuable internal and external products and systems. You will participate in Data Analysis and Reporting system development and communicating with internal and external customers. What you'll be doing: Develop a high-performance and high-availability in-house real-time analytics system with other engineers from different teams We will also design and develop various ML pipelines and train and evaluate ML models Lead many DL/ML projects related to various NVIDIA products in GPU server areas Participate in the development of an automatic data cleanup and validation system owned by your team At the same time, you will communicate with external teams to help them in their Data Analytics projects What we need to see: BS or MS degree in one of the areas of Electrical Engineering, Computer Engineering, Computer Science (or equivalent) with 5+ years of meaningful work experience Fully understand parallel computing on multi-threads and multi-processes You are expected to be fluent in DL/ML (Statistics, Fraud/Anomaly detection, A/B testing, etc) and Data Analytics Flawless understanding of Regression, Classification, Clusterization (transactional and real variables), and embedding methodologies, their pros/cons are very significant We expect to see excellent communication skills, ability to document and present the current status and final project deliveries Intermediate/upper-intermediate oral and written technical English Skills of working in an internationally distributed team Self-motivated, engaged, eager for self-education Ways to stand out from the crowd: We appreciate additional programming skills in R, Python, C/C++ as well as it's important to have basic Linux skills Experience in any of sklearn, scipy, numpy, pandas, matplotlib, pytorch, NLP, and searching/indexing Deep understanding of DL models development (Transformers, MLPs, Convolution) is valuable With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

「台達研究院」(Delta Research Center, DRC)成立於2013年，為台達集團總部研發單位，除致力於大數據分析及物聯網應用與解決方案的開發與整合，加速企業轉型成功，也積極與產官學研生態體系協作，以開放創新模式，創造多贏生態圈。2022年台達研究院進入下一階段，專注於研發台達下下世代(next-next-generation)產品或解決方案之前瞻技術。 在「台達研究院」之下，團隊專注在模擬最佳化、機器人演算法、數位孿生建模與應用，發展具商業價值的AI應用與解決方案。 本職缺主要工作內容: 1. 與技術團隊配合，了解市場趨勢與客戶需求，發想AI產品/解決方案 2. 產品/解決方案發展策略擬訂，撰寫產品/解決方案企劃書 3. 蒐集市場訊息，趨勢研究報告，與競品分析 4. 參與並協助Smart Design/產品設計, Smart Manufacturing/智慧製造, Energy Optimization節能最佳化相關產品開發與驗證專案。

工作內容： 1) 維護現有的系統與文件更新 2) 開發新專案與API開發 3) 整合第三方工具 4) 新技術研究 基本技能需求： 1)熟悉GitHub 2)熟悉 HTML、CSS、javascript 與 JQuery，可以進行基礎前端運用。 3)熟悉 C# 與ASP.NET。 4)熟悉 SQL語法 與 Store Procedure 撰寫應用。 5)熟悉 MVC與.Net Core 開發應用。 加分技能： 1) 熟悉 Web Form 2) 熟悉 Vue.js 3) 熟悉 Microsoft Team Foundation

本中心為研究與發展中心，研究領域包含運用 AI 打造最前沿的智慧醫療、智慧製造、AI 晶片及AI 機器人的技術研發，我們也與公司內部各單位及外界夥伴合作，發展 AI 技術與挖掘資料價值，以及邊緣 AI 運算之應用，並致力於協助公司數位轉型及資料驅動等專案開發，以期將研發的前沿技術導入至實際應用。作為扁平化管理的研發團隊，部門同仁多元且合作密切，面對問題時大家都樂於提供不同的見解，共同腦力激盪出可能的解決方案。團隊同仁也積極將成果投稿至國際頂尖的學術會議與期刊、取得技術專利並拓展新的技術領域。 ☆了解 Inventec AI: https://ai.inventec.com/ 工作內容： 1. 機器學習系統之模型開發和解決方案設計、改善、與創新。 2. 開發新一代智慧製造、智慧醫療、自主機器等之機器學習技術與產品原型。 3. 技術領域包含電腦視覺、生理訊號分析、自然語言處理、語音訊號處理、生成式AI等。