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HOYA BIT 致力成為加密貨幣新鮮人的最佳信任夥伴，我們致力研究加密貨幣的解決場景，並針對用戶需求提供解決方案，讓加密貨幣便利每個人的生活! ▎經營理念 享受工作與生活 當你踏入 HOYA BIT 後，你會發現我們致力讓員工創造與突破，高成就感與高報酬是讓每一個夥伴全力以赴的原動力! 高度成長與不斷創新 HOYA BIT 鼓勵每一位的夥伴不斷創新，唯有求新求變才能撼動市場，為此我們也提供每位夥伴學習經費，並透過每個月的內部交流及外部講座提升每一個夥伴的能力！ 客戶至上的服務模式 由於 HOYA BIT 是主打新手友善的加密貨幣交易所，所以我們以積極熱情的精神來服務我們的客戶，並致力透過每一個用戶的回饋來改善 HOYA BIT 的產品及服務，唯有熱情擁抱用戶，才能得到用戶的最高信任。 ▏我們相信越好的人才就需要越少的管理，所以在管理上我們只要求夥伴們尊重會議所決定的專案期程，在過程中若遇任何困難都請「即時提出」、才能「及時解決」，在辦公部份我們也致力打造讓大家都能舒適工作的環境。 ▏

【關於這個角色】你將擔任公司 AI 轉型的核心推手，負責將 AI 工具與流程真正「落地」到遊戲產業的日常運作中——從中央技術團隊的工具治理，到前線部門的實際應用推廣。【你會做的事】1. 跨部門 AI 需求訪談與規格收斂，將業務痛點轉譯為可執行的技術方案2. 擔任內部 AI 工具教育訓練講師，手把手引導非技術同仁上手 AI 工具3. 專案進度追蹤與風險控管（PMO），積極推動各項 AI 應用進程4. 識別各部門繁瑣人工作業，設計與導入 AI 自動化場景

Job Summary: As a Machine Learning Engineer, your responsibilities will include designing, developing, and deploying machine learning models and algorithms to address complex challenges and improve our products and services. Additionally, you will play a key role in AI-enhanced customer service. You will collaborate closely with data scientists, software engineers, and domain experts to implement state-of-the-art machine learning solutions. As a Machine Learning Engineer, your responsibilities will include designing, developing, and deploying machine learning models and algorithms to address complex challenges and improve our products and services. Additionally, you will play a key role in AI-enhanced customer service. You will collaborate closely with data scientists, software engineers, and domain experts to implement state-of-the-art machine learning solutions. Key Responsibilities: Model Development: Design, build, and maintain scalable machine learning models and algorithms.Data Analysis: Analyze and preprocess data from various sources to prepare it for model training.Model Training Evaluation: Train, validate, and tune machine learning models to achieve optimal performance.Deployment: Deploy models into production and integrate them with existing systems.Monitoring Maintenance: Monitor model performance in production and update models as necessary to ensure they remain accurate and relevant.Collaboration: Work with cross-functional teams, including data scientists, software engineers, and product managers, to understand requirements and deliver solutions.Research: Stay current with the latest developments in machine learning and AI to continuously improve our technology stack.

Senior Data Scientist / Machine Learning Engineer Price Intelligence Demand Optimization 我們正在尋找一位兼具 數學能力、程式能力與商業思維 的 Senior Data Scientist / Machine Learning Engineer，負責打造一套從 0 到 1 的 Price Intelligence System。 這不是一個只停留在研究階段的模型開發職位。我們希望你能打造真正落地、可規模化、能驅動商業決策的演算法系統，協助企業在超過 50,000+ SKU 的商品組合中，進行大規模、自動化、即時化的價格決策。 你將參與一套由 15+ 個互相串接的模型 組成的 Price Intelligence Ensemble System，涵蓋需求預測、價格彈性、促銷成效、庫存優化、異常偵測與多目標最佳化等核心模組。 工作內容 1. 建立 Price Intelligence Ensemble System 你將參與設計並開發一套由多個模型組成的價格智慧系統，包括： Demand Forecasting 需求預測 Price Elasticity Modeling 價格彈性模型 Promotion Impact Modeling 促銷成效模型 Inventory Optimization 庫存最佳化 Meta-Learning / Ensemble Decision Engine Real-Time Anomaly Detection 即時異常偵測 你需要能夠理解模型之間的依賴關係、資料流、特徵工程、模型選擇、訓練流程與執行順序。 2. 開發 SKU-Level Demand / Pricing Models 你將建立能夠在 SKU 層級預測需求、庫存與價格反應的模型，並納入以下因素： Seasonality 季節性 Promotion Lift 促銷拉動效果 Macroeconomic Factors 總體經濟因素 Weather Patterns 天氣影響 Product Lifecycle 商品生命週期 Competitive Pricing 競爭價格 Inventory Velocity 庫存流速 相關模型可能包括： ARIMA / Prophet LightGBM / XGBoost Bayesian Models Hierarchical Models Causal Inference Models PyTorch-based models 3. 解決多目標最佳化問題 你將開發能夠平衡多個商業目標的最佳化模型，例如： Maximizing Revenue 提高營收 Maintaining Gross Margin 維持毛利 Clearing Seasonal Inventory 清理季節性庫存 Competitive Positioning 維持市場競爭力 Promotion Efficiency 提升促銷效率 你需要能夠將商業限制、價格防護條件、庫存壓力與營運規則整合進模型，形成可落地的價格決策引擎。 4. 建立即時異常偵測與促銷監控系統 你將開發 streaming / real-time models，監控促銷活動期間的實際銷售表現，並在銷售結果與預測落差過大時，提供即時決策訊號，例如： Deepen Promotion：加深折扣或擴大促銷 Throttle Promotion：降低促銷力度或停止活動 Inventory Risk Alert：庫存風險提醒 Margin Risk Alert：毛利風險提醒 5. 將模型部署到 Production Environment 你需要撰寫乾淨、可維護、可擴展的 Python 程式碼，並與工程團隊合作，將模型部署到 production pipeline。 技術環境包含： Python pandas / NumPy / scikit-learn PyTorch BigQuery Vertex AI Cloud Run AlloyDB Pub/Sub / Dataflow / Kafka SQL / PySpark Poetry 系統需要滿足即時或近即時的 latency 要求，例如 100ms 到 500ms。 必備條件 7 年以上 Data Scientist / Machine Learning Engineer 經驗 具備統計、數學、經濟、物理、運籌、工程或相關量化領域背景 熟悉 price elasticity estimation、demand curve modeling 或 demand forecasting 熟悉 time-series forecasting 方法，例如 ARIMA、Prophet、LightGBM、XGBoost 熟悉 Python 生態系，包括 pandas、NumPy、scikit-learn、PyTorch 具備進階 SQL 能力，能處理大型資料集與複雜分析查詢 理解 Bayesian methods、hierarchical models、causal inference 或 uncertainty quantification 有能力將模型從 research prototype 推進到 production pipeline 能與工程、產品、商業團隊溝通模型邏輯與商業影響 加分條件 有 e-commerce、retail、fashion retail、pricing 或 revenue management 經驗 有 price optimization、demand elasticity、markdown optimization 經驗 曾開發 multi-model ensemble system 或複雜 ML 系統 熟悉 GCP：BigQuery、Vertex AI、Cloud Run、Pub/Sub、Dataflow 熟悉 real-time ML / streaming architecture 有 apparel / fashion retail 商品生命週期、季節性促銷、庫存管理經驗 熟悉 competitive pricing intelligence、web scraping、price index monitoring、KVI strategy 有 SaaS product 或 internal pricing tool 開發經驗 具備 computer vision / apparel feature extraction 經驗 熟悉 PyTorch CNN architecture，能夠修改或訓練 vision models 我們希望你是這樣的人 你不只是會訓練模型，而是能夠理解模型如何真正影響商業結果。 你能夠在以下目標之間做出平衡： 營收 vs. 毛利 折扣深度 vs. 庫存去化 預測準確度 vs. 系統延遲 模型複雜度 vs. 可維護性 商業彈性 vs. 統計嚴謹性 你需要能夠向非技術主管清楚解釋，例如： 「為什麼這個 markdown depth 雖然折扣較深，但能在指定期間內最大化總毛利回收？」 適合你的原因 這個職位適合想要挑戰以下任務的人： 從 0 到 1 建立 Price Intelligence System 參與大規模 SKU pricing decision engine 的設計 將 machine learning、statistics、optimization 與真實商業場景結合 建立能實際影響營收、毛利與庫存決策的 production-grade ML system 與產品、工程、商業團隊共同打造可規模化的 AI pricing platform 技能關鍵字 Python、Machine Learning、Data Science、Price Optimization、Demand Forecasting、Price Elasticity、Time Series Forecasting、Bayesian Modeling、Causal Inference、PyTorch、LightGBM、XGBoost、BigQuery、Vertex AI、GCP、SQL、PySpark、Optimization、Retail Analytics、E-commerce、Inventory Optimization、Anomaly Detection、Computer Vision

職缺介紹 晧飛思（Heph A.I Studios）是一家專注於 AIGC（AI 生成內容） 的創新公司， 致力於打造 數字人（Digital Human）、語音互動（Speech AI）、虛擬主持人（AI Host）、智慧櫃檯（Smart Concierge）、虛擬助理（AI Assistant） 等新世代 AI 產品。 我們的 iOS 應用正引領 AI 互動的新世代， 讓使用者能以自然的語音、表情與情感與智慧角色交流。 如果你對 AI 技術與人機互動體驗 充滿好奇， 並希望在產品從 0 到 1 的建構過程 中實際參與與學習，這個職位將非常適合你。 工作內容 協助開發與優化 數字人、語音互動、AI 內容生成 相關的 iOS 應用程式 參與 虛擬主持人（AI Host）、智慧櫃檯（Smart Concierge）、AI 助理 等產品模組開發 與資深工程師合作，整合 AIGC 技術（LLM、VLM、Stable Diffusion 等）至 iOS 應用協助串接 語音 AI 技術（Speech-to-Text / Text-to-Speech）與即時影音串流功能 撰寫乾淨、可維護的 Swift / SwiftUI 程式碼協助進行 App 性能優化與除錯參與 Code Review、技術討論與跨部門協作 基本要求 一年以上 iOS 開發經驗，熟悉 Swift 與 SwiftUI 理解 Combine、Async/Await、Concurrency 等非同步開發概念 熟悉 MVVM / TCA / Clean Architecture 架構設計概念 具備基本影音處理經驗（AVFoundation / Core Image / Vision 佳）了解 RESTful API、WebSocket 串接流程 熟悉 Git 版本控制與 CI/CD（Fastlane / Jenkins）流程者佳 對 AI、語音技術、虛擬角色或互動應用有興趣 具備良好的學習能力、主動性與團隊合作精神 加分項目 曾開發或參與 AI 互動類、虛擬角色或創新應用專案 有 CoreML / TensorFlow Lite / PyTorch Mobile 使用經驗 熟悉 Whisper、VITS 或其他語音相關 AI 技術 對 ARKit / RealityKit / Unity 有基礎了解 有個人專案、開源貢獻或技術作品集可展示 成長與挑戰 在晧飛思，你將在實戰中快速成長，從「執行者」逐步成為「創造者」。 你將有機會： 與 設計師、資深工程師 一起打造新世代 AI 應用 參與產品與團隊 從 0 到 1 的建構過程，理解一個 AI 應用如何誕生 實際接觸 語音 AI、Vision Model、LLM 等前沿技術 在實務中累積產品開發與架構經驗，建立屬於自己的技術方向 我們重視實作與學習潛力，而非僅僅履歷。 若你熱愛開發、樂於探索新技術，我們會提供足夠的引導與支持，陪你一起成長。 這裡的挑戰，來自未知與創新； 而你的成長，將來自讓技術真正落地、讓世界看見你的成果。 薪資與福利 薪資範圍： 年薪 NT$80 – 130 萬（依能力與經驗調整） 年節績效獎金 休假制度： 除法定特休外，另提供彈性休假，可自由運用於休息、進修或個人規劃 假期項目： 生理假、婚喪喜慶假、育嬰假 員工生活： 年度旅遊補助、每月零食預算 成長支持： 專業課程補助、內部技術分享與跨部門交流會 工作型態： 彈性上班時間與遠端工作選項

公司介紹： 我們的客戶是一家領先的金融科技公司，致力於通過數位、數據和技術推動整體轉型。公司正在積極打造數據驅動文化，以成為提供卓越金融服務的科技公司為目標。公司環境開放創新，鼓勵員工發揮創造力，實現職業理想。 JD: 1. 機器學習、深度學習或統計分析模型專案開發 2. 配合數據技術發展目標，研究與實作可落地應用之新興數據模型技術 3. 協助數據轉型，規劃end-to-end的數據應用解決方案 4. 當負責之數據服務被設定為""不能中斷""之服務等級，則需配合維運團隊於非上班時段on call以便即時處理問題，確保服務穩定。

About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities. At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. Your Team, Your Impact The Optical PHY (CE-OPHY) team designs high-speed and optical transceivers for communication infrastructure in long-haul, metro and datacenter. We address the bandwidth, capacity and power issues faced by cloud computing, mega data centers that powers the social media giant platforms. Our innovative approaches have resulted in the company’s products being first to market in many of key areas, developing the most advanced chips and subsystems solutions to address the ever-increasing demand of higher data rates driven by video-on demand, gaming and other real time data streams. We are seeking talented individuals to work on solving technical challenges with the most outstanding group of collaborators in the industry. Join our team of experts and make a difference in an exciting career opportunity. What You Can Expect Analog/Mixed-Signal IC Design Support the design and drive efficiency of analog blocks such as PLLs, regulators, buffers, and SERDES circuits.Use industry-standard tools (e.g., Spectre, Virtuoso, MATLAB, python) and assist in analyzing performance trade-offs.Drive processes to automate correlation of simulation results with silicon data in lab environments. AI Systems and Hardware-Aware Modeling Explore AI workflows and develop scripts/models that assist in IC calibration, prediction, or optimization.Contribute to prototyping and automation tasks involving Python, PyTorch, or other ML frameworks. System Integration Automation Participate in cross-functional work that brings together hardware, software, and algorithm layers. What We're Looking For Education Experience:Master’s degree and/or PhD in Electrical Engineering, Computer Engineering, Computer Science, with 5+ years experience in analog/mixed-signal IC design and demonstrated expertise in applying AI/ML techniques to engineering workflows. Technical Expertise: Hands-on experience in designing mixed-signal circuits such as ADCs, DACs, RX/TX, PLLs, filters, bandgap bias circuits, regulators, and other analog blocks.Knowledge of deep sub-micron CMOS technologies, low-power, and high-speed design techniques.Proven ability to integrate AI/ML methods into analog/mixed-signal design processes for optimization, modeling, or automation.Solid understanding of signal processing, control theory, and/or convex optimization.Experience with IC design CAD tools (Cadence, Spectre, SPICE, Verilog) and AI frameworks (PyTorch, TensorFlow). Software Scripting Skills: Proficiency in Python and MATLAB for scripting, data analysis, and visualization.Familiarity with AI workflows and experience developing scripts/models that assist in IC calibration, prediction, or optimization. Additional Skills: Excellent problem-solving and analytical skills.Strong communication skills and ability to collaborate across multidisciplinary teams.Lab testing experience for prototype evaluation and silicon correlation. Additional Compensation and Benefit Elements With competitive compensation and great benefits, you will enjoy our workstyle within an environment of shared collaboration, transparency, and inclusivity. We’re dedicated to giving our people the tools and resources they need to succeed in doing work that matters, and to grow and develop with us. For additional information on what it’s like to work at Marvell, visit our Careers page. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Interview Integrity To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews. These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process. This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.

This role requires you to work in a shift pattern or non-standard work hours as required. This may include weekend work.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Bengaluru, Karnataka, India.Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience. 2 years of experience in a technical role such as technical support, software engineering, or solutions engineering. Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms. Experience with Artificial Intelligence (AI) concepts and Machine Learning (ML) techniques. Experience with computer networking (e.g., TCP/IP, DNS, load balancing, routing) and Linux/Unix system administration. Preferred qualifications: Professional-level certification on Google Cloud, such as the Professional Machine Learning Engineer or Professional Cloud Architect. Experience with Google Cloud's AI/ML product portfolio, including Vertex AI (Vertex AI Workbench, Pipelines, Endpoints, TensorBoard) and Generative AI tools (Gemini, Gen AI Studio). Experience in specialized ML areas like Natural Language Processing (NLP), Computer Vision, or Recommendation System. Experience with public cloud infrastructure and core services (e.g., Compute Engine, Cloud Storage, BigQuery). Knowledge of ML frameworks such as TensorFlow, Keras, or PyTorch. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Technical Solutions Engineer, you will own our large and important customer issues in addition to providing level two support to our other support teams. You will be a part of a global team that provides 24x7 support to help customers seamlessly make the switch to Google Cloud.In this role, you will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting. You will make our products easier to adopt and use by making improvements to the product, tools, processes and documentation. You will help drive the success of Google Cloud by understanding and advocating for our customers issues.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Troubleshoot and resolve technical issues across the Google Cloud AI/ML portfolio, focusing on customer-reported, deployment failures, model performance degradation and infrastructure-related problems. Work directly with customers on their ML deployments, including generative AI models to ensure production readiness and high availability. Utilize coding and scripting skills (primarily Python) to read, debug, and reproduce customer issues within their ML models (TensorFlow, PyTorch) or deployment environments (Kubernetes, Compute Engine). Manage customer problems through effective diagnosis, clear documentation and the development, implementation of new investigation tools to increase diagnostic speed. Develop an understanding of Google Cloud's AI/ML solutions and share this knowledge to upskill the wider global support organization. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

This role requires you to work in a shift pattern or non-standard work hours as required. This may include weekend work.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Pune, Maharashtra, India.Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience. 5 years of experience in a technical role such as Technical Support, Software Engineering, or Solutions Engineering. Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design. Experience with Artificial Intelligence (AI) concepts and Machine Learning (ML) techniques. Experience with computer networking (e.g., TCP/IP, DNS, Load Balancing, routing) and Linux/Unix system administration. Preferred qualifications: Professional-level certification on Google Cloud, such as the Professional Machine Learning Engineer or Professional Cloud Architect. Experience with Google Cloud's AI/ML product portfolio, including Vertex AI (Vertex AI Workbench, Pipelines, Endpoints, TensorBoard) and Generative AI tools (Gemini, Gen AI Studio). Experience in specialized ML areas like Natural Language Processing (NLP), Computer Vision, or Recommendation System. Experience with public cloud infrastructure and core services (e.g., Compute Engine, Cloud Storage,BigQuery). Knowledge of ML frameworks such as TensorFlow, Keras, or PyTorch. Ability to lead the design and implementation of AI-based solutions or debugging tools, demonstrating strong collaborating skills. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. Our Technical Solutions Engineers lead and own our large and important customer issues in addition to providing level two support to our other support teams. You will be a part of a global team that provides 24x7 support to help customers seamlessly make the switch to Google Cloud.In this role, you will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting. You will make our products easier to adopt and use by making improvements to the product, tools, processes and documentation. Our Technical Solutions team is driven by customers and you will help drive the success of Google Cloud by understanding and advocating for our customers’ issues. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Troubleshoot and resolve highly technical issues across the Google Cloud AI/ML portfolio, focusing on customer-reported , deployment failures, model performance degradation and infrastructure-related problems. Work directly with customers on their ML deployments (including Generative AI models)to ensure production readiness,high availability. Utilize coding and scripting skills (primarily Python) to read,debug, and reproduce customer issues within their ML models (TensorFlow, PyTorch) or deployment environments(Kubernetes, Compute Engine). Manage customer problems through effective diagnosis,clear documentation and the development/implementation of new investigation tools to increase diagnostic speed. Develop an in-depth understanding of Google Cloud's AI/ML solutions and share this knowledge to upskill the wider global support organization. Participate in an on-call rotation, may include working non-standard hours,nights,or weekends as part of our global 24/7 support model. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

以「釋放製造業的潛力」為使命，致力於推動製造業的數據平台產品。 2022 年透過機器學習等多種技術，將製造業中極為重要的圖面數據進行結構化，並與各類資訊連結，讓圖面能夠作為資訊資產被靈活運用。該產品目前已被日本國內眾多大型製造商與加工公司廣泛採用，成長迅速。 自 2023 年起，我們也開始向海外市場拓展，包括美國、泰國、越南等地，加速推進全球佈局。 未來，我們將不只限於圖面資料，而是致力於透過科技手段，重現與整合製造業的專業知識，實現跨部門、跨企業的整體最適化。【工作內容】 MLOps 工程師將與機器學習工程師密切合作，負責建構、維護與營運能夠穩定提供機器學習與數據科學模型的系統基礎架構。此外，您也將引領建立數據收集管線，並推動數據資產活用。 以下為工作內容示例，實際工作項目不僅限於此，入職後的工作範疇將依據您的技術能力、專業知識與經驗共同討論決定： 建構支援機器學習模型推論的 API 與 Batch 運行環境，及使用 CI/CD 進行部署的系統架構 在正式環境中執行監控、效能調校等提升 Site Reliability 的相關開發 使用 Vertex AI 或 Argo Workflow 建立、維護與運營機器學習處理流程（Pipeline） 最佳化推論與訓練平台的成本效益 與建模人員、平台工程團隊進行有效溝通，並將相關流程進行文件化與制度化 ■ 使用語言 前端：TypeScript 後端：Rust、TypeScript、Python ■ 框架與函式庫 前端：React、Next.js、WebGL、WebAssembly 後端：Rust（axum）、Node.js（Express、Fastify、NestJS）、PyTorch ■ 基礎架構 Google Cloud、Google Kubernetes Engine（GKE）、Anthos Service Mesh ■ 資料庫／資料倉儲 CloudSQL（PostgreSQL）、AlloyDB、Firestore、BigQuery ■ API GraphQL、REST、gRPC ■ 監控與效能追蹤 Datadog、Sentry、Cloud Monitoring ■ 環境建置 Terraform ■ CI/CD GitHub Actions ■ 認證管理 Auth0 ■ 開發工具 GitHub、GitHub Copilot、Figma、Storybook ■ 團隊溝通工具 Slack、Discord、JIRA、Miro、Confluence