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Job Summary: You are responsible for contributing to the development of AI/ML solutions that will drive the innovation of our product offering. This entails understanding and AI model building, implementing and measuring the effectiveness of various AI/ML models in addressing various opportunities in the medical field. A proven track record of building AI projects over the past five years is essential. Job Responsibilities: Drive end-to-end ML projects from data engineering, machine learning model development/data analytics to deployment.Scope end-to-end requirements to ensure an efficient implementation of AI products.Work with the team to scope AI use cases and make sure that data is made available for analysis, articulate the needs of data scientists in the early stage of the project.Monitor AI project deployments, proactively identify risks, and coordinate with relevant parties to resolve issues.Work with the engineering team to design, execute, and monitor product experiments.Document and communicate findings to stakeholders in a clear and concise manner

Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade.Responsibilities: AI algorithm/application research and development on image recognition, time series forecasting, and abnormal detectionAI system design and development, including system infrastructure (docker/K8S) and web application.AI System analysis, design, development and integration for cross organizations/systems projects.Innovate, develop and introduce Intelligent Manufacturing Solutions.Hiring Organization: IMC

【職務核心】 您將利用海量數據構建核心決策模型，透過自動化手段解決內部的營運痛點。我们需要您具備將數學理論轉化為生產級 (Production-grade) 程式碼的能力。 數據煉金：使用 SQL 從龐大的資料倉儲中萃取 (Extraction) 有價值的特徵，並進行深度分析。模型開發與自動化：應用 Data Mining 與 ML 技術設計自動化工具，優化內部作業流程與決策效率。落地與維運：負責模型的容器化 (Docker) 封裝與部署，監控模型在正式環境的表現，確保系統的高可用性。技術顧問：與跨部門團隊協作，向非技術人員解釋 AI 模型的應用場景與邊界 (Limitations)。

開發與實作 生成式 AI 與影像辨識模型，用於產品瑕疵生成（Stable Diffusion、ControlNet、GAN 及其變體）、資料擴增與品質檢測。應用與微調 影像辨識／表徵學習模型（如 YOLO、CLIP、DINOv3 等新型開源模型）。進行 大型模型（ViT、LLM）Fine-tuning、模型建置、調校與效能優化。建立 資料清理、特徵工程、模型訓練與評估流程，持續提升模型穩定性與準確度。規劃並實作 RAG（檢索增強生成）架構，整合向量資料庫與 LLM。開發與維護 AI 模型服務 API，並與 WPF 前端及其他系統整合。進行 AI 技術與學術文獻研究，將研究成果應用於實務專案。使用 Docker、Git 進行部署與版本控管，配合主管交辦事項與團隊合作。依專案需求配合國外出差（一年約 1--3 次，每次約 3--4 週），參與專案導入、系統部署、模型調校或跨部門協作。其他主管交辦事項，並與團隊密切合作完成專案目標。必備條件3 年以上 AI／機器學習／深度學習 相關工作經驗，熟悉python、C#。熟悉 TensorFlow、PyTorch、Keras 等深度學習框架。熟悉 影像辨識模型與演算法，具 YOLO、CLIP、DINO（含新版本）等實作或應用經驗。具備 生成式模型（GAN 及其變體、Stable Diffusion、ControlNet）實務經驗，並理解模型底層原理。熟悉 Hugging Face 生態系（Transformers、PEFT、Datasets、Tokenizers）。有使用 PEFT 技術經驗（如 LoRA、QLoRA、Prefix Tuning 等），能在有限 GPU 資源下進行有效訓練與調校。了解 Fine-tuning 對模型效能、泛化能力與推論成本的影響，並能依量產需求進行權衡與最佳化。具備 RAG 架構、Prompt Engineering、向量搜尋與任一向量資料庫 經驗。具備 API 開發經驗，熟悉 Docker、Git。具備 數據清理、特徵工程、模型評估與效能優化能力。具良好溝通能力，可獨立作業並進行團隊合作。加分條件曾參與 產品瑕疵檢測、工業影像或製造業 AI 專案。具 影像生成＋影像辨識混合應用 經驗（如生成資料輔助訓練）。具 論文閱讀與模型重現（Reproduction）經驗。具 WPF 前端開發 或 AI 系統整合經驗。曾參與 AI 相關研究、技術分享或開源專案。具 對比學習（Contrastive Learning） 應用經驗（如 Self-Supervised Learning、Representation Learning）。有使用 StableDiffusion WebUI、ComfyUI經驗。

(About Us) We are a leading global IT services and consulting firm with a presence in 30 countries and a team of over 30,000 technology experts. As a long-term, trusted partner for Fortune Global 500 companies, we deliver cutting-edge digital transformation solutions, particularly within the finance, automotive, and manufacturing sectors. We are now seeking a passionate AI expert to join our elite team in Taiwan and pioneer state-of-the-art Generative AI projects. Position Highlights ✨Pioneer Enterprise AI in the Heart of the Finance IndustryThis is more than just a development role; it's a chance to build enterprise-grade Generative AI solutions for a major international financial client. You will apply the most advanced AI technologies to solve complex, real-world business challenges and gain incredibly valuable project experience in a high-impact domain. 🚀Master an In-Demand, Future-Ready Tech StackYou will work extensively with the Microsoft Azure AI ecosystem (including Azure AI Studio, Search, and Logic Apps), integrating it with today's most sought-after technologies like RAG, LLMs, and Kubernetes. This is a prime opportunity to align your skill set with the future of AI and stay ahead of the curve. 🤝Collaborate with a Global Team of AI ExpertsYou're not on your own. In this role, you will work in close collaboration with our headquarters' AI Center of Excellence (AIC). This gives you a unique opportunity to engage with top AI specialists, tackle world-class challenges, and expand both your technical perspective and your international professional network. 💡A High-Impact Role with Key Technical OwnershipAs a key technical member of the project, your expertise will directly shape the solution's architecture and success. You will have a substantial impact on the client's AI adoption strategy, offering you a highly visible platform to demonstrate your skills and drive tangible results. 🌍A Global Career Stage at a Top-Tier IT PowerhouseBecome part of an internationally acclaimed global IT group with over $1 billion in annual revenue. This translates to a stable and supportive environment, access to international resources, and a clear, transparent career path for your professional growth. (About the Role) This isn't just a development role; it's a unique opportunity to stand at the forefront of the AI revolution. As a core member of our team, you will directly shape the AI transformation roadmap for our major clients in the financial services industry. Your key responsibilities will include: Lead GenAI Solution Development:Design, build, and deploy enterprise-grade AI applications from the ground up, leveraging Large Language Models (LLMs) and advanced Retrieval-Augmented Generation (RAG) techniques to solve real-world business challenges.Build Robust MLOps Pipelines:Take ownership of the end-to-end machine learning lifecycle. You will construct automated pipelines for model training, versioning (MLflow), CI/CD, and production deployment on Kubernetes.Drive International Collaboration:Work closely with our AI Center of Excellence (AIC) in Vietnam, sharing insights, exploring new technologies, and applying them to high-impact projects in a truly global setting. (Our Tech Stack) Generative AI:OpenAI APIs, LLMs, RAG, Vector Databases (Qdrant)Cloud MLOps:Azure (AI Studio, AI Search, Logic Apps, Storage Account), Copilot Studio, MLflow, KubernetesProgramming Automation:Python, n8n

AI Engineering LLM Applications | Senior AI Engineer / Tech Lead - TL (Global Financial Group | Fluent English Required) Company Overview Our client is the Taiwan entity of a well-established global financial group with operations across multiple international markets. The organization is known for its strong governance, financial stability, and long-term commitment to technology-driven transformation. In recent years, the company has made significant investments in AI and data-driven initiatives, forming a dedicated AI team focused on delivering production-ready AI solutions that directly support core business operations and customer-facing platforms. This role involves frequent collaboration with overseas teams, making strong English communication skills essential. Responsibilities Lead AI Engineers and Software Engineers to design and deliver AI-powered solutions Apply Machine Learning and LLM technologies to real-world business systems (e.g., call center, telesales, customer interaction and call routing platforms) Collaborate closely with global stakeholders to understand requirements and drive execution Design, build, and maintain scalable, reliable, and secure AI services Ensure high code quality, system performance, and long-term maintainability Contribute to technical decisions, architecture design, and best practices Balance evolving priorities while maintaining delivery momentum Technologies Python (production-grade development) Machine Learning / Deep Learning(PyTorth, TensorFlow) Large Language Models (LLMs) Generative AI FastAPI, Uvicorn Docker, Kubernetes Distributed, high-throughput, low-latency system architectures CI/CD and cloud deployment experience is a plus

公司介紹 我們的客戶為台灣具指標性的大型金融機構，長期被市場視為金融科技與 AI 落地的領先者。近年在 Generative AI 領域投入大量資源，不僅推動多項 GenAI 旗艦方案，更成功將 AI 技術導入實際營運流程，建立可複製、可擴展的企業級應用模式。 本職缺隸屬於核心的轉型單位（約百人規模），高階長官具備資工博士級背景，組織定位關鍵、決策鏈短，並直接影響 AI 產品是否能安全、穩定地交付給最終客戶。 職務說明 我們正在尋找一位 AI 模型主管，從零建立企業級 AI 品質與評測體系。 你將擔任 AI 產品上線前的 「守門員（Gatekeeper）」，全權負責 LLM、RAG 與 ML 系統的評測標準、發布流程與風險控管，平衡模型效能、安全性與合規性，對產品能否正式上線具有關鍵影響力。 工作內容 一、AI 評測策略與框架建立 從零打造企業級 AI 評測架構，定義 LLM / RAG / ML 系統的核心評估指標 評測面向涵蓋：準確率、相關性、真實性（Faithfulness）、一致性（Consistency） 將 Responsible AI 原則納入驗收標準（公平性、偏見、可解釋性） 推動評測流程自動化，並與 MLOps / CI-CD 深度整合 二、基準測試與資料治理 規劃並管理 Golden Dataset，涵蓋關鍵業務流程、Edge Cases 與對抗性樣本 追蹤並評估主流評測工具與方法（如 RAGAS、DeepEval、Arize Phoenix） 建立模型版本間可比較、可追蹤的 Benchmark 體系 三、AI 安全與紅隊演練 建立 AI 安全防護與風險驗證機制 主導 LLM 紅隊演練（Red Teaming） 制定並驗證 Prompt Injection、Jailbreaking、PII 洩露等風險的防禦與壓力測試標準 四、跨部門協作與團隊領導 與演算法、後端工程、產品團隊密切合作，建立錯誤分析回饋迴圈 針對生產環境 Bad Cases 進行 RCA，提出 Fine-tuning / Prompt Engineering 優化建議 負責團隊培育、流程標準化與評測文件制度建立

【工作內容】1.人工智慧影像深度學習及類神經網路模型開發及改善2.晶圓表面Defect檢測開發/改善專案3.設計及改善Defect物件偵測演算法4.設計及改善影像特徵搜尋引擎5.影像處理相關演算法開發6.有目標檢測、目標跟蹤、目標識別、事件檢測、姿態行為識別經驗尤佳7.了解工業相機及解決方案、決策鏡頭和光源產品選型尤佳8.負責AI檢測系統的光學成像方案設計、評估和驗證及測試◎依學經歷、科系、經驗相關性、特殊需求證照及專長等條件核敘個人薪資。工作廠區：依實際需求安排工作廠區-竹科/湖口/高雄

「台達研究院」成立於2013年，由各領域專家組成，專注於研發台達下下世代 (next-next-generation) 產品之前瞻技術，開發新一代的創新產品，在台北、台南等地設有研發實驗室，加速了解產業需求、驗證技術與解決方案的多面向整合。 我們致力於協助建構企業級的軟體與韌體開發輔助工具 (Coding Copilot)，研發、設計並實作各式 AI Agents 來提升軟、韌體的品質與開發效率。工作將橫跨 LLM 微調、Agent 架構設計、最新技術的調研與實作，以及服務架構的建置與維運，打造真正落地的 AI 工具鏈。 工作內容包含但不限於: • 設計與實作 AI Agentic Workflow：將需求轉化為可部署、可擴展的 AI Agent 流程 • 微調 LLM 模型：針對特定任務進行模型微調，提升模型在特定領域的表現 • AgentOps 與 LLMOps：負責 AI Agent 的部署、監控與維護，確保穩定與高效運作 補充說明: 在這裡，不只是做研究，而是能將想法轉化為真正落地的 AI 工具。 • 全棧歷練：從設計、開發到部署，參與 AI Agent 的完整生命週期，累積難得的端到端經驗 • 實際影響力：成果將直接應用於台達場景，解決真實產業痛點 • 方法不設限：用各種創新方法解決真實痛點，挑戰沒有標準答案的問題 • 自由創造：親手打造理想中的 coding 工具，讓更多開發者一同使用，體驗創造的成就感

The Delta Robotics Innovation Center (DRIC) is established to support Delta Electronics' long-term robotics development.Its primary purpose is to build and enhance Delta's capabilities in robot design, manufacturing, and integration. Rather than focusing on delivering specific products, the center aims to cultivate core competencies that enable Delta groups to efficiently develop and commercialize robotics-based solutions.Responsibilities:• Design and implement novel AI algorithms and foundation models for general-purpose robots and embodied agents.• Develop and optimize training and inference pipelines for large-scale vision-language and multimodal models.• Fine-tune models for robot-specific tasks such as motion planning and manipulation, including reinforcement learning (RL) techniques.• Collaborate with simulation teams to validate models in physical simulators and integrate them into robot planning and control systems.• Build and maintain scalable GPU-based distributed training infrastructure and efficient data pipelines for model development.