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【職務說明】作為跨部門的數據夥伴，透過各項數據分析與洞察，協助進行產品與營運決策。需能將複雜且模糊的商業問題轉化為可量化的分析框架，並以資料視覺化、實驗設計與深度分析，提供具行動力與商業價值的建議，推動組織落實數據驅動的決策文化。【工作內容】1、跨部門商業夥伴合作 與產品、營運及行銷團隊密切協作，深入理解業務需求與關鍵痛點，將模糊的商業問題轉化為具體的分析框架，並追蹤核心指標達成狀況。2、資料視覺化與決策支援 規劃、設計並維護高互動性與高可用性的數據儀表板，將複雜數據轉化為直觀、可解讀的視覺化洞察，協助管理層即時掌握營運狀況與決策依據。3、實驗設計與成效

公司介紹 一家深耕軟體研發多年的國際化技術團隊，專注於打造高效能資料系統與即時交易相關平台，產品與服務橫跨多個海外市場。團隊致力於將資料工程與機器學習技術落地於實際商業場景，透過大規模資料分析與智慧化模型，提升系統效率與風險識別能力。 公司工程文化重視技術討論與跨團隊合作，工程師不僅負責模型開發，也能參與資料架構、系統設計與模型部署，直接看到技術對產品與業務帶來的實際影響。此外，公司採 Hybrid 工作模式，並提供完善的辦公環境與員工福利，打造兼具效率與生活品質的研發氛圍。 工作內容 從大型資料庫中進行資料擷取、清理與分析，建立可用於模型訓練與分析的資料基礎 設計並開發基於 資料探勘與機器學習技術 的內部自動化系統與工具 協助將機器學習模型部署至實際產品或系統環境，並確保系統穩定運行 與工程、產品與資料相關團隊合作，提供 ML 技術建議並評估模型應用場景 持續優化資料處理流程與模型效能，提升系統整體效率 技術環境 Programming / ML：Python、PyTorch、TensorFlow、scikit-learn Data / Database：SQL、大型資料庫資料處理 Infrastructure：Linux、Shell Script、Docker / Container Machine Learning：Regression、Neural Network、Decision Tree、Clustering、Dimensionality Reduction

1. 數據庫的靜態資料翻譯(英中)、分析、歸檔、修正 2. 須具備Word、Excel、Google文件等編輯能力 3. 須具備英文資料閱讀及英文書信往來溝通能力 4. 配合部門專案執行(如：大型翻譯項目、資料分析項目) 5. 其他的主管交辦事項 6. 此職務有午班津貼，無經驗可 7. 英文能力需求：多益 600分以上、英檢-中高級 (含以上)，相關科系(應外系、外文系)或有中英翻譯相關工作經驗佳，以上任一種符合或有同等能力證明 8. 上班時段： 早班 09:00-18:00(彈性工時)、午班 15:00-23:00(無彈性工時)

Berry AI builds AI-powered operations platforms for QSR restaurants — drive-thru analytics, loss prevention, and store management tooling deployed across thousands of locations across the US — and growing. We're hiring a Senior Full-Stack Engineer who ships product features fast and brings the operational discipline to run them reliably. What you'll work on • Ship product features end-to-end across our hybrid cloud-edge architecture — from edge services through cloud APIs to the daily analytics restaurant operators rely on. • Build out our data platform — data ingestion pipelines from thousands of stores, dbt models, and the warehouse powering our dashboards. • Collaborate with our AI engineers to turn their models into product features — clean APIs, intuitive UIs, and the insights they unlock. • Contribute to the operational backbone — Ansible playbooks, CI/CD pipelines, and observability — that lets us deploy, monitor, and operate the fleet. • Strengthen our on-call practice — leading postmortems, sharpening alerting and runbooks, and turning incidents into durable fixes.

Berry AI builds AI-powered operations platforms for QSR restaurants — drive-thru analytics, loss prevention, and store management tooling deployed at thousands of locations across the US — and growing. Computer vision sits at the core of what we ship. We're hiring a Senior ML Engineer to own model development end-to-end and turn business requirements into production systems. What you'll work on Drive iteration across our AI/ML stack — object detection and tracking, person/vehicle Re-ID, and video understanding running on edge.Build efficient algorithms for resource-constrained hardware — implement lightweight architectures and optimization techniques within latency and compute budgets.Turn business asks into algorithmic problems — design the metrics, run experiments, and drive each iteration with ablation studies and error analysis.Partner with product engineers to ship and monitor ML systems in production — deployment paths and feedback loops that catch data drift and failure modes.Improve data and labeling quality — sampling strategy, annotation guidelines, and tooling that keeps a long-lived dataset healthy.

About Berry AI 🍟 AI is one of the most revolutionary technologies of our generation, driving progress across industries. At Berry AI, we leverage AI-powered cameras to help quick service restaurant chains measure and improve operational performance. Our flagship product focuses on service speed. We've developed an AI video timer that tracks customer wait times — one of the most critical yet often overlooked metrics in the fast-food industry. This data helps restaurants optimize operations, improve training, and refine labor scheduling to enhance service efficiency and drive revenue growth. Our cutting-edge solutions are already helping multiple top-20 fast-food chains improve their service speed, and we are rapidly expanding our customer base. Joining Berry AI means contributing to transformative technology that shapes the future of quick-service restaurants. Berry AI is backed by Flytech Group, the world’s third-largest POS hardware provider, and is headquartered in Taipei (Neihu).Press: https://buzzorange.com/techorange/2024/07/18/berry-ai-flytech-ai-interview/Demo: https://youtu.be/zxDBRPPbLNI 關於此職位 我們正在尋找一位會計專員加入 Berry AI 財務團隊，支援我們台灣總部與美國業務的日常會計營運。 你將直接向財務經理匯報，並與跨部門團隊緊密合作。在這個快速成長的新創環境中，你將支援會計營運、付款流程、月底結帳以及與 ERP 相關的工作流程。 職責 處理日常應付帳款與應收帳款作業及會計分錄協助月底結帳與帳目調節支援銀行與公司信用卡的帳目調節獨立準備並申報台灣營業稅申報資料準備並整理美國多州銷售稅申報的交易資料支援每季外部會計師查核及年度審計資料準備支援臨時指派的財務與營運專案 About the Role We are looking for an Accountant to join Berry AI's finance team, supporting day-to-day accounting operations across both our Taiwan headquarters and U.S. business. Reporting directly to the Finance Manager and working closely with cross-functional teams, you will support accounting operations, payment processes, month-end closing, and ERP-related workflows in a fast-growing startup environment. Responsibilities Handle daily AP / AR operations and accounting entries.Support payment processing.Assist with monthly closing and account reconciliations.Support bank and corporate card reconciliations.Independently prepare Taiwan VAT filing data.Prepare and organize transaction data for U.S. multi-state sales tax filings.Support quarterly external accountant reviews and annual audit data preparation.Support ad hoc finance and operational projects.

職務介紹研華科技 AI Center 正在招募一位 AI Solution Architect，負責規劃、設計與落地企業級 AI 解決方案，協助研華各事業群與功能單位導入 Generative AI、AI Agent、RAG、LLM / VLM、Edge AI、AI Server、AIOps 與雲地混合 AI 平台。此職位將參與研華內部 AI 平台與 AI Agent 生態系的建置，包含 OpenClaw、Hermes Agent、NemoClaw、多租戶 AI 平台、地端 GPU AI Server、雲端 AI 服務、Edge AI 應用與企業資料整合。你將與 AI Center、Domain IT、Infra、資安、資料團隊、研發、製造、供應鏈、財務、人資與業務單位合作，將 AI 技術從 PoC 推進到可維運、可治理、可擴充的正式服務。我們期待你不只是熟悉模型或工具，更能理解企業流程、資料限制、系統架構、資安治理、成本控管與使用者體驗，協助研華打造可長期演進的 AI 解決方案架構。主要工作內容1. 企業級 AI 解決方案架構設計負責規劃與設計研華內部 AI 應用與平台架構，包含：- Generative AI / RAG / AI Agent 應用架構- Multi-Agent Workflow 與 Agent Orchestration- OpenClaw / Hermes Agent / NemoClaw 平台整合- 企業內部 Copilot / Chatbot / AI Assistant- AI Server 與 Edge AI 應用架構- 雲端與地端混合式 AI 架構- 多租戶 AI 平台與權限治理- AI API Gateway、模型服務與企業系統整合2. AI Agent 與企業流程自動化設計並落地可支援企業流程的 AI Agent，包含：- Hermes Agent Skill / Tool / Workflow 設計- OpenClaw Browser Agent / Computer Use 應用- AI Agent 與企業系統串接，例如 SAP、PLM、CRM、HR、Salesforce、Data Lake- 自動化文件處理、資料查詢、報表產生與決策輔助- Human-in-the-loop / Agent-in-the-loop 機制設計- Looping Engineering，用於多輪推理、任務修正、工具調用與自我改善- Harness Engineering，用於建立可重複驗證的任務測試、Agent 評估與效能追蹤框架3. LLM / VLM 模型服務與推論平台整合參與地端與雲端模型服務平台建置，包含：- vLLM、SGLang、TensorRT-LLM、Triton Inference Server- NVIDIA AI 生態系，例如 NVIDIA NIM、NeMo、TensorRT、Triton、CUDA、GPU Operator- Azure AI 生態系，例如 Azure OpenAI、Azure AI Foundry、Azure AI Search、Azure Machine Learning、Azure Kubernetes Service- OpenAI-compatible API 服務設計- 多模型路由、模型選型、成本控管與效能優化- LLM / VLM Serving、Batch Inference、Online Inference- GPU 資源配置、KV Cache、Concurrency、Throughput、Latency、TTFT 監控與調校4. Edge AI 與 AI Server 解決方案落地協助研華將 AI 能力導入 Edge Computing 與 AI Server 場景，包含：- Edge AI 應用架構規劃- 地端 GPU Server AI 平台部署- AI Server 上的 LLM / VLM / Agent 應用服務- 工業場景中的文件理解、影像理解、設備監控、異常偵測與知識問答- Edge-to-Cloud AI 架構設計- 與研華硬體、工業電腦、邊緣運算平台整合- 協助內部與外部場域形成可展示、可複製的 AI 解決方案範本5. AIOps 與 AI 平台維運治理協助建立 AI 平台的可觀測性、維運與治理機制，包含：- AI 服務監控、Token 使用量、API 呼叫量與成本追蹤- GPU 使用率、模型效能、服務延遲與錯誤率監控- Agent 任務成功率、工具調用品質與回覆品質評估- AIOps 應用於異常偵測、事件分析、Root Cause Analysis 與自動化處置- 權限控管、API Key 管理、白名單與安全治理- SLA、故障復原、備援與升級流程規劃- AI Center 平台營運報表與效益追蹤6. 跨部門需求訪談與方案導入與研華內部各單位合作，將業務需求轉化為可落地的 AI 解決方案：- 需求訪談與痛點分析- AI 可行性評估與資料來源盤點- PoC / Pilot / Production 導入規劃- Solution Architecture Diagram 與 Technical Proposal 撰寫- ROI、節省工時、流程效率、品質改善與使用者採用率分析- 協助各事業群建立可複製的 AI Use Case 與 Best Practice必要條件- 熟悉 Python 開發，具備 API 串接、資料處理或 AI 應用開發經驗- 理解 REST API、JSON、HTTP、OAuth、SSO 或企業系統整合概念- 熟悉 Generative AI、LLM、RAG、Embedding、Vector Database、Prompt Engineering 基本原理- 具備 AI Agent、Workflow Automation 或 Tool Calling 相關經驗- 熟悉至少一種雲端 AI 平台，例如 Azure OpenAI、Azure AI Foundry、Google Vertex AI、AWS Bedrock- 理解 Docker、Kubernetes 或容器化部署基礎- 能閱讀英文技術文件，並快速掌握新框架、新模型與新工具- 具備良好溝通能力，能與非技術單位釐清需求並轉化為技術方案- 具備企業級落地思維，能考慮資安、權限、維運、成本、效能與使用者體驗加分條件具備以下任一經驗者佳：- 使用過 OpenClaw、Hermes Agent、NemoClaw 或類似 Agent 平台- 熟悉 LangChain、LangGraph、LlamaIndex、Semantic Kernel、AutoGen、CrewAI 等 Agent / RAG 框架- 使用過 vLLM、SGLang、TensorRT-LLM、Triton、NVIDIA NIM 或其他 LLM Serving 技術- 熟悉 NVIDIA AI 生態系，例如 CUDA、TensorRT、Triton、NeMo、NIM、GPU Operator、NVIDIA AI Enterprise- 熟悉 Azure AI 生態系，例如 Azure OpenAI、Azure AI Foundry、Azure AI Search、Azure ML、AKS、Private Endpoint- 熟悉 Edge AI、AI Server、GPU Server、Industrial AI 或 Edge Computing 場景- 有 AIOps、Observability、Monitoring、Logging、Tracing 或 Incident Response 經驗- 使用過向量資料庫，例如 Milvus、Qdrant、FAISS、Pinecone、Azure AI Search、Weaviate有 VLM、OCR、文件解析、表格擷取、PDF 理解或多模態 AI 應用經驗有 SAP、PLM、CRM、Salesforce、HR、ERP、Data Lake、Denodo 等企業系統整合經驗有製造業、工業電腦、供應鏈、研發流程、硬體研發或 Edge AI 專案經驗熟悉模型效能測試、Benchmark、Evaluation Harness、Prompt Evaluation 或 Agent Evaluation有 GPU 佈署、模型量化、KV Cache、Concurrency、Latency、Throughput 調校經驗適合的人格特質- 對 AI、Agent、Edge AI 與企業級 AI 平台有高度熱情- 能在新技術快速變動下主動學習與驗證- 不只關注模型效果，也重視架構穩定性、維運性與可治理性- 能把模糊需求拆解成可執行的方案與階段性目標- 能與研發、IT、資安、Infra、業務單位與高階主管有效溝通- 具備系統性思維，能兼顧平台、資料、模型、流程與商業價值- 重視實際落地成果，而不只是技術展示或 PoC Demo- 是技術展示或 PoC Demo

• Develop and operate backend systems related to data collection and data processing.• Responsible for workflow automation , process optimization and performance tuning.• Coordinate with technical lead on current programming tasks.• Continuously learn and improve skills.• Perform other duties as necessary.

Position SummaryPlaces orders for merchandise and tracks the product until it arrives in the location. Enters and updates computer records and reports. Sends out and tracks various supplier contracts. Communicates internally and externally to gather information to resolve issues.Job Duties/Essential Functions• Creates and maintains item and supplier records for warehouses and online sales by using AS400. Keys in figures for weekly department reports.• Reviews department inventory by item through monitoring daily sales by warehouse and determines future orders which need to be issued. Keeps track of promotions and determines impact to future orders. Communicates orders with vendors, warehouses and traffic to ensure the smooth flow of goods to the warehouses. • Enters merchandise-related data for online website and maintains information and layout through the back-office system on a timely-basis. Audits website to ensure proper item set up, image, wording, and consistency. • Communicates with regional buying offices, depots, warehouses, and local/foreign vendors and gather information to resolve issues.• Emails vendor contracts, and various marketing agreements for signatures and tracks until return.• Assists Buyer and Assistant Buyer in item development and various merchandising projects as needed.Non-Essential Functions• Assists in other areas of the department or company as necessary.

Position SummaryPlaces orders for merchandise and tracks the product until it arrives in the location. Enters and updates computer records and reports. Sends out and tracks various supplier contracts. Communicates internally and externally to gather information to resolve issues.Job Duties/Essential Functions• Creates and maintains item and supplier records for warehouses and online sales by using AS400. Keys in figures for weekly department reports.• Reviews department inventory by item through monitoring daily sales by warehouse and determines future orders which need to be issued. Keeps track of promotions and determines impact to future orders. Communicates orders with vendors, warehouses and traffic to ensure the smooth flow of goods to the warehouses. • Enters merchandise-related data for online website and maintains information and layout through the back-office system on a timely-basis. Audits website to ensure proper item set up, image, wording, and consistency. • Communicates with regional buying offices, depots, warehouses, and local/foreign vendors and gather information to resolve issues.• Emails vendor contracts, and various marketing agreements for signatures and tracks until return.• Assists Buyer and Assistant Buyer in item development and various merchandising projects as needed.Non-Essential Functions• Assists in other areas of the department or company as necessary.