HKSTP announces the launch of the Student Internship Programme (SIP) 2026, which has been open for applications since mid-May 2026.-SIP 2026 is designed to equip students with essential skillsets, industry exposure, and professional networks, supporting their transition into the innovation and technology (I&amp;T) sector upon graduation. The programme also enables companies to engage early with emerging talent and contribute to workforce development.-Eligible HKSTP partner companies can receive funding support to employ qualified student interns, providing students with meaningful, hands-on experience in real-world business environments.-*Please note that funding support is allocated on a&nbsp;first-come, first-served basis.-For further details, please feel free to contact TecONE at 2629 2383 or sip@hkstp.org.

HKSTP Student Internship Programme 2026

Blooming with AI: HKSTP Summer Talent Fest 2026 cum Kick-off Ceremony for "AI for All" Inclusive Programme-Event Details:&nbsp;Date: 14 July 2026 (Tuesday) Time: 10:00 AM &ndash; 1:30 PM&nbsp; (Register at 10:00 AM) Venue: 1/F -2/F, Building 10W, Hong Kong Science Park, Shatin (The Golden Egg)-Event Rundown:&nbsp;10:00 AI+ Tech Showcase (Try the Tech Live - Experience groundbreaking AI straight from HKSTP park companies)11:00 Welcome Remarks &amp; Keynote Address | "AI for All" Inclusive Programme Kick-off11:30 The AI Leadership Forum (Real Strategies - Learn from industry leaders to navigate the dynamic I&amp;T landscape)12:00 Meet &amp; Spark (Unlock Your Next Milestones - Connect with founders and talents in a relaxing setting to land your next gig)-SIGN UP NOWIndustry Leaders, Founders, and Innovators Registration Link: <a href="https://2vx.io/Xci40uc" target="_blank" rel="noopener">https://2vx.io/Xci40uc</a>Students, Interns and Professionals Registration Link: <a href="https://2vx.io/DeGV7ct">https://2vx.io/DeGV7ct</a>

Blooming with AI: HKSTP Summer Talent Fest 2026

HKSTP Global Internship 2026

HYAB Youth Start-up Internship Programme (YSIP)

Talent Foundry

部门：AI智能体研究中心 地点：香港, 深圳 工作经验：实习生、应届生 招聘人数：10人 关于岗位我们正在寻找多智能体协同工程师，加入 echOS Agent Core 团队。你将直接参与设计与实现：<ul><li>多业务 Agent 的角色划分与职责边界</li><li>跨 Agent 状态同步与数据一致性</li><li>Agent 间协商、冲突解决与联合决策机制</li><li>多 Agent 在真实交易系统中的稳定运行</li></ul>这是多智能体系统在真实产业场景中的工程化落地，而不是仿真环境中的理论实验。⸻工作重点（Focus）你将负责构建 echOS 多智能体协同基础设施，包括但不限于：Agent 架构层<ul><li>设计多 Agent 的角色模型（定价 / 库存 / 履约 / 渠道 / 计划）</li><li>构建 Agent 生命周期管理（启动、暂停、恢复、重组）</li><li>定义 Agent 权限边界与职责分离机制</li></ul>协同与决策层<ul><li>实现 Agent 间通信协议与状态广播</li><li>构建冲突检测与协商框架（如价格 vs 库存、时效 vs 成本）</li><li>支持集中式 + 分布式混合决策</li><li>引入多智能体强化学习（MARL）优化整体系统收益</li></ul>系统工程层<ul><li>构建多 Agent 仿真与回放环境</li><li>实现协同行为可观测系统（决策链路、责任归因、效果评估）</li><li>搭建 A/B 框架评估协同策略</li><li>支持新 Agent 快速接入现有系统</li></ul>⸻理想经验<ul><li>有复杂系统 / 分布式系统 / Agent 系统经验</li><li>熟悉 Python</li><li>理解强化学习或博弈论基本概念</li><li>能将复杂业务拆解为多个自治模块</li><li>具备系统级抽象能力</li></ul>加分项：<ul><li>Multi-Agent RL</li><li>博弈论 / 机制设计</li><li>调度系统 / 资源分配系统</li><li>企业级系统架构经验</li></ul>⸻你将面对的真实问题<ul><li>定价 Agent 提高利润但导致库存积压，库存 Agent 要求降价清仓，如何设计可学习的协商机制？</li><li>履约 Agent 为追求交付时效提高物流成本，如何让多个 Agent 自动达成成本与体验平衡？</li><li>新接入一个业务模块（例如促销 Agent），如何快速融入既有协同网络？</li><li>多 Agent 各自局部最优导致整体系统退化，如何设计全局激励？</li><li>企业策略变化（例如从增长导向转向利润导向），如何让 Agent 网络快速重构行为模式？</li></ul>⸻技术栈Python / PyTorch分布式系统多 Agent 框架Typescript / React（内部工具） Department: AI Agent Research Center Location: Hong Kong, Shen Zhen Work Experience: Graduate / Early Career Number of openings: 10 About the RoleWe are seeking Multi-Agent Systems &amp; Coordination Engineers to join our Agent Core team.You will help design and implement systems where multiple autonomous agents: •Share state and communicate •Negotiate resources and objectives •Resolve conflicts •Execute distributed decisions •Form stable long-term cooperation strategiesThis is multi-agent engineering in real industrial environments — not simulated grids.⸻FocusAgent Architecture •Design agent roles (pricing, inventory, fulfillment, channel, planning) •Implement agent lifecycle management (start, pause, recovery, reconfiguration) •Define responsibility boundaries and permissionsCoordination &amp; Decision Layer •Build inter-agent communication protocols •Implement conflict detection and negotiation frameworks •Support hybrid centralized + decentralized decision making •Apply multi-agent reinforcement learning to optimize global outcomes •Enable joint planning across agentsSystems Engineering •Build multi-agent simulation and replay environments •Develop observability tools for coordination behaviors and decision chains •Implement A/B frameworks for evaluating coordination strategies •Enable fast onboarding of new agents into existing ecosystems⸻Ideal Experience •Experience with complex systems, distributed systems, or agent architectures •Strong Python •Understanding of reinforcement learning or game theory fundamentals •Ability to decompose complex domains into autonomous components •Strong system-level abstraction skillsNice to have: •Multi-Agent RL •Game theory / mechanism design •Scheduling or resource allocation systems •Enterprise-scale system architecture⸻Typical Problems You’ll Work On •Pricing agents increase margin but cause inventory buildup — how should agents negotiate? •Fulfillment agents optimize delivery speed at higher cost — how do agents learn balanced strategies? •A new business agent is introduced — how does it integrate into the existing coordination network? •Local agent optimization degrades global performance — how do we design global incentives? •Enterprise strategy shifts (growth → profitability) — how do agents rapidly realign?⸻Tech StackPython / PyTorch Distributed systems Multi-agent frameworks TypeScript / React (internal tools)

多智能体协同工程师（Multi-Agent Systems & Coordination Engineer）

Responsibilities:<ul><li>Software Development</li><li>Firmware Development</li><li>AI Application development using machine learning model</li><li>Algorithm development</li></ul>Requirements:<ul><li> Degree or higher, in Electronic Engineer, Computer Engineering or equivalent disciplines</li><li>We are ready to take in freshmen and grow together with our company</li><li>C++ / C / Python / any related languages</li><li>Able to work independently</li><li>like to work in startup atmosphere</li><li>obsessed in learning and be a better you</li><li>Fluent in Cantonese, mandarin and English</li></ul>

Software Engineer

Job OverviewJoin our team to validate cutting-edge, hyper-realistic Digital Human ecosystems and Agentic AI solutions. In this junior-to-mid-level role, you will perform a blend of manual exploratory testing and internal test automation. Your primary focus will be comprehensive functional software and solution testing—ensuring that all system features, user flows, and application functions work flawlessly alongside our core Speech-to-Text (STT), Text-to-Speech (TTS), and LLM engines across cloud servers, interactive Kiosks, mobile apps, web interfaces, and on-premise hardware.Key Responsibilities<ul><li aria-level="1">Full-Feature Functional Testing: Own the functional testing lifecycle. Thoroughly test all software features, UI components, user navigation buttons, and operational flows to ensure the application behaves exactly as expected.</li><li aria-level="1">End-to-End Solution Testing: Validate the complete software-hardware integration loop. Ensure seamless data flows from physical user inputs on Kiosk/Web interfaces, through cloud-hosted AI layers, and back to the physical display output.</li><li aria-level="1">Validate Audio &amp; Speech Components: Test Speech-to-Text (STT) transcription accuracy and Text-to-Speech (TTS) naturalness, pronunciation, and real-time lip-sync alignment within the live environment.</li><li aria-level="1">Test AI &amp; Interaction Logic: Design and execute test matrices to evaluate LLM conversational branches, chatbot logic, and agentic workflows for multi-language accuracy, context retention, and low latency.</li><li aria-level="1">Build Internal Automation Frameworks: Develop, maintain, and execute automated test scripts targeting cloud APIs, communication pipelines, and core functional software modules to accelerate release cycles.</li><li aria-level="1">Monitor Cloud, Infrastructure &amp; Alerts: Actively watch cloud server metrics and system monitoring dashboards. Triage automated infrastructure or software alerts, investigate log files, and initiate immediate escalation paths for system anomalies.</li><li aria-level="1">Cross-Functional PMO Collaboration: Act as the primary QA anchor working daily with AI, Software, and the PMO teams to track bug resolution lifecycles and ensure software releases hit key milestones.</li></ul>Technical Requirements 🎯 Must Have<ul><li aria-level="1">Experience: 1 to 4 years of proven experience in software testing and complex functional/solution testing (Junior to Mid-Level).</li><li aria-level="1">Functional &amp; Feature Testing Mastery: Strong background in breaking down complex business requirements into detailed manual and automated test cases that cover 100% of application features and user edge cases.</li><li aria-level="1">Solution Testing Frameworks: Demonstrated ability to test multi-tier solutions where software interacts directly with cloud systems, APIs, and physical endpoints (Kiosks/devices).</li><li aria-level="1">Core Languages: Fluency in Python and JavaScript / TypeScript for writing test tooling and validating data.</li><li aria-level="1">API &amp; System Validation: Solid experience with automated API testing tools and functional web/mobile automation frameworks </li><li aria-level="1">Cloud Platform Familiarity: Hands-on experience navigating cloud platforms to verify hosted software components, server logs, and deployment environments.</li><li aria-level="1">Monitoring &amp; Alerting Systems: Direct experience working with telemetry, system monitoring, or cloud logging tools to track software health and react to real-time system alerts.</li><li aria-level="1">Agile Workflows &amp; Collaboration: Active usage of GitHub for version control, along with Jira or similar issue-tracking tools inside structured Agile frameworks. </li><li aria-level="1">Excellent English, Cantonese, Mandarin communication skills (written, reading, and verbal)</li><li aria-level="1">Ability to explain complex technical concepts to both technical and non-technical audiences</li><li aria-level="1">Strong problem-solving and analytical thinking capabilities</li><li aria-level="1">Self-motivated with ability to work independently and drive projects to completion</li><li aria-level="1">Collaborative team player who thrives in fast-paced environments</li></ul>💡 Good to Have<ul><li aria-level="1">AI Ecosystem Knowledge: Conceptual or hands-on exposure to AI Frameworks (LangChain, LlamaIndex), speech processing APIs, or LLM-based applications.</li><li aria-level="1">DevOps Basics: Basic understanding of containerization and deployments (Docker, Kubernetes) to better diagnose environment-specific software issues. Excited to join us? Press APPLY or email your resume to jobs@pantheonlab.ai with - The role you're applying for - Expected salary - Your availability We can’t wait to hear from you! NOTE: All personal data is collected for recruitment purposes only.</li></ul>

QA Engineer (Digital Human & LLM/ Chatbot)

Responsibilities<ul><li data-list="bullet">Manage and execute entire projects or components of data science projects from start to finish including data gathering and manipulation, synthesis and modelling, problem solving, and communication of insights and recommendations.</li><li data-list="bullet">Participate in the design, implementation and interpretation of experiments/trials for continuous refinement of on-going technical proposals.</li><li data-list="bullet">Develop, verify, and validate analytics to address customer needs and opportunities.</li><li data-list="bullet">Translate predictive insights from complex analytical frameworks to optimization.</li><li data-list="bullet">Develop and deploy both traditional statistical models and machine learning techniques and algorithms: Regression, clustering, neural networks, random forest etc.</li><li data-list="bullet">Participate as a Lead, Subject Matter Expert in projects that enable the use of data for analytics across Quest. This requires collaborating with business and technical teams to propose solutions and/or leverage new technologies to address data quality, normalization, and standardization issues.</li></ul>Requirements and skills<ul><li data-list="bullet">Master’s degree (or equivalent experience) or PhD in Computer Science, Artificial Intelligence, or mathematics or related field.</li><li data-list="bullet">Solid understanding of Machine Learning / Deep Learning techniques, algorithms and tools with exposure to CNN, RNN (LSTM), Transformers, know-how of Deep learning applications.</li><li data-list="bullet">Strong development experience in languages like Python, as well as frameworks like Tensorflow, PyTorch, and/or Keras.</li><li data-list="bullet">Familiar with R, Scala, Julia or SAS.</li><li data-list="bullet">Exhibit a passion for AI and data and have a thirst to continually learn and keep pace with the latest innovations and applications</li><li data-list="bullet">Demonstrated skill in critical thinking and problem solving methods</li><li data-list="bullet">Demonstrated skill in presentation and influencing skills</li></ul>

Senior Researcher, AI Algorithm

Mechanical / Electrical &amp; Automation Engineer – Intelligent Construction MachineryJob Responsibilities<ul><li>Design, develop, and maintain electrical control systems for intelligent construction machinery and equipment</li><li>Develop and debug PLC programs for automated control of heavy machinery and construction processes</li><li>Design and review electrical schematics, wiring diagrams, and component layouts for new and existing equipment</li><li>Collaborate with mechanical, software, and robotics engineers to integrate electrical systems with overall machine control architectures</li><li>Conduct system testing, troubleshooting, and performance optimization at both R&amp;D labs and construction sites</li><li>Select and evaluate electrical components, sensors, actuators, and controllers to ensure reliability and cost-effectiveness</li><li>Prepare and maintain technical documentation, including design specifications, test reports, and user manuals</li><li>Ensure compliance with relevant industry safety standards and electrical regulations</li><li>Provide on-site technical support during equipment installation, commissioning, and maintenance</li></ul>Qualifications<ul><li>Bachelor's degree or above in Mechanical Engineering, Automation, Electrical Engineering, Electronics, or a related field</li><li>Hands-on experience in PLC programming (e.g., Siemens, Mitsubishi, Allen-Bradley, or similar platforms)</li><li>Solid knowledge of electrical control systems, including motor drives, sensors, relays, and industrial communication protocols (e.g., Modbus, Profibus, CANBus)</li><li>Proficiency in reading and designing electrical schematics using CAD tools (e.g., EPLAN, AutoCAD Electrical)</li><li>Familiarity with industrial automation components and their integration into heavy machinery systems</li><li>Understanding of hydraulic and mechanical systems is a plus, enabling better cross-disciplinary collaboration</li><li>Strong troubleshooting skills and the ability to resolve electrical and control issues under time constraints</li><li>Good communication and teamwork skills, with the ability to work effectively across engineering disciplines</li><li>Willingness to travel to construction or project sites for on-site support as needed</li><li>Proficiency in English and Cantonese is a plus</li></ul>

Mechanical / Electrical & Automation Engineer

職責:<ul><li>負責駕駛公司房車接送董事及客人</li><li>車輛日常管理、跟進維修、保養及清潔</li><li>公司外勤工作 (如需要)</li><li>需要時需執行公司委派之工作</li><li>月薪 $24,000 - $26,000</li><li>13 個月薪</li><li>12 日年假</li></ul>任職要求:<ul><li>最少 3 年有關任職公司/私人司機及接送高級行政人員之工作經驗</li><li>熟悉全港各區街道</li><li>良好駕駛紀錄 (需要提供相關證明文件)</li><li>誠實有禮、守時、富責任心及耐性</li><li>於沙田科學園取車和還車</li><li>工作時間由上午10 時至晚上 8 時，能接受彈性工作時間及加班工作 </li><li>加班工作有薪</li><li>每週工作六天（需週六及週日, 公眾假期上班, 休息日為逢星期四)</li><li>公眾假期需要上班, 然後安排補假</li><li>不吸煙 可即時上班 良好駕駛紀錄 (需要提供相關證明文件)</li></ul>

司機 / Driver

About Unbound Technology Limited (UTL)Unbound Technology Limited (UTL) is a Hong Kong-based R&amp;D start-up pioneering sustainable energy solutions for global markets. As a member of the HKSTP Incubation Programme, we combine cutting-edge innovation with an unwavering commitment to environmental sustainability and societal safety. Our compact, high-impact team of researchers and engineers tackles the world’s toughest energy challenges.We are seeking ambitious, entrepreneurial talent—including fresh graduates—to fuel our growth. Key Responsibilities<ul><li>Collaborate with the technical team to design and customize energy products to meet specific client needs;</li><li>Conduct laboratory experiments, prototype testing, and data analysis to validate concepts and iterate designs;</li><li>Assist in installation, service, and maintenance of electronic electrical systems focused on improving energy efficiency and reliability in sustainable energy projects;</li><li>Contribute to on-site work and emergency response features;</li><li>Provide support in R&amp;D and prototype development for power quality solutions, including testing and commissioning of energy storage systems such as super capacitors to buffer voltage dips in applications Job Requirements</li><li>Self-motivated, creative problem-solver with an entrepreneurial spirit and willingness to wear multiple hats in a start-up environment;</li><li>Good spoken and written English and Chinese (Cantonese and Mandarin preferred);</li><li>Willing to work on site in various locations, including industrial and research facilities;</li><li>Bachelor's degree or Higher Diploma in Electronical Engineering (or related discipline); qualifications in electrical engineering preferred to meet relevant professional standards;</li><li>1 to 2 years relevant experience(fresh graduates with strong final-year projects or internships are encouraged to apply), especially those interested in sustainable energy innovation and R&amp;D What We Offer</li></ul>Compensation: HK$14,000-HK$23,000/month (12 payments) + performance-based project incentives.Flexibility: Highly flexible hours and hybrid/remote work options.Growth: Direct exposure to end-to-end product development in a funded HKSTP incubatee, with rapid learning and leadership opportunities.Travel: Fully supported trips (mainly to China) to engage with manufacturers and clients. Join UTL and help shape the future of sustainable energy. Apply with CV and a brief note on why you’re excited about start-up R&amp;D.

Assistant Electrical Engineer (Start-up, R&D)

Role OverviewWe are seeking an AI System Engineer who bridges back-end AI systems, spatial databases, and native mobile app development (iOS/Swift). You will own end-to-end mobile app architecture, model integration, and core back-end infrastructure. You will be responsible for building, optimizing, and maintaining the mobile application (GUIDi Arm App)—ensuring real-time execution of edge AI models, seamless communication with hardware modules via Bluetooth (BLE), and sync with venue spatial databases. Key Responsibilities 1. Mobile App Development &amp; Architecture (iOS / Swift)Lead native iOS application development (Swift / SwiftUI / Objective-C) for the GUIDi Arm App, implementing dual-role interfaces ("User" AI navigation &amp; "Caregiver" tracking/telemetry).Integrate device-level APIs for camera depth sensing, Bluetooth Low Energy (BLE) communication with the GUIDi Wearable hardware, and voice/audio streaming.Implement voice command features and Over-The-Air (OTA) firmware update workflows inside the app. 2. Edge AI Model Integration &amp; On-Device ProcessingDeploy and run Computer Vision and Spatial AI models on-device using frameworks such as CoreML, Metal Performance Shaders, or ONNX Runtime.Optimize real-time inference speed for depth sensing, barrier detection, and AI Scene Description to ensure low latency and minimal battery consumption on mobile devices. 3. Spatial Infrastructure &amp; Database EngineeringArchitect and maintain high-precision spatial database servers for coordinate-mapped 3D environments, barrier tagging, dynamic artifact positioning, and navigation paths across client venues.Build data pipelines to sync indoor/outdoor spatial maps between cloud/local servers and the mobile app interface. 4. System Analytics &amp; Telemetry Data PipelinesBuild real-time streaming endpoints for caregiver live tracking, route history, safety alerts, and device status monitoring.Support back-end analytics pipelines for GUIDi Map’s enterprise venue dashboard, processing foot-traffic and spatial interaction data. Requirements &amp; QualificationsEducation: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Mobile Engineering, Artificial Intelligence, or a related field.Mobile &amp; Software Engineering:Demonstrated years of experience in native iOS app development (Swift / SwiftUI).Demonstrated experience architecting and publishing iOS applications to production or enterprise deployment.Strong knowledge of mobile design patterns, memory management, asynchronous programming, and BLE communication protocols.AI &amp; Edge Deployment:Practical experience integrating AI/ML models into mobile applications (CoreML, TensorFlow Lite, ONNX Runtime, or OpenCV).Proficiency in Python or C++ for back-end scripting and model deployment pipelines.System &amp; Spatial Backend:Experience working with spatial data, RESTful APIs, WebSockets, gRPC, and cloud database integration. For applcation, please send your CV and transcript to hr@ai-guided.com.

AI System Engineer

一、關於我們：鉑力特致力於成為全球領先的增材技術解決方案提供商。公司成立於2011年7月，2019年7月22日正式在上交所科創板掛牌上市，在香港、德國、美國設有子公司，鉑力特是國家級高新技術企業，擁有國家企業技術中心等高水準科研平臺。截止到 2025 年12月底，鉑力特擁有員工3531人，研發人員約占 19.48%，申請金屬增材製造技術相關自主專利738項，鉑力特（香港）科技有限公司是西安鉑力特增材製造有限公司的全資子公司，公司位於香港科學園，主要從事增材製造研發和前沿應用技術研究等。二、崗位介紹：本崗位為增材製造AI前沿部署工程師（FDE），核心定位是打通AI技術與工業生產場景，聚焦金屬3D列印全流程的AI落地應用。候選人核心價值在於懂AI應用、懂工業落地、擅長場景挖掘與方案驗證，能夠結合AI大模型、RAG、智能自動化等技術，梳理適配SLM金屬列印的高價值場景，落地工藝知識庫、自動化工藝開發、智能缺陷分析、軟體流程智能化等應用，推動AI技術從原型驗證走向規模化工業落地。三、崗位職責：<ol><li>工業AI場景挖掘與梳理：深入熟悉金屬增材製造全業務流程，圍繞工藝開發、參數優化、品質檢測、知識沉澱等核心痛點，挖掘、篩選高價值、可落地的AI應用場景，完成需求定義、優先順序排序與落地規劃</li><li> AI方案設計與落地應用：依託大模型、RAG、AI Agent等技術，整合內外部AI工具、開源能力及第三方資源，獨立設計端到端AI應用方案。核心落地實現工藝自動化開發、工藝參數智能優化、缺陷智能分析、工藝知識庫搭建等核心能力</li><li> 內外部資源統籌落地：統籌推進AI專案落地，對內拉通工藝、生產、軟體、演算法團隊對齊落地節奏；對外整合AI廠商、技術服務商等外部資源，補齊技術能力，打通落地壁壘，推動AI場景從試點驗證走向規模化複用。</li><li>工業數據與智能資產沉澱：依託企業工藝資料、實驗數據、生產案例，搭建標準化增材製造工藝知識庫、知識圖譜；聯動SLM軟體、工藝資料庫，完成數據清洗、特徵梳理，搭建自動化工藝開發工作流，沉澱可複用的工業AI應用資產。</li><li> 效果量化複盤與複製推廣：建立AI落地量化評估體系，從工藝週期、調試效率、缺陷率、知識複用等維度量化落地價值。定期複盤迭代，沉澱標準化落地規範與案例，推動優質AI場景批量複製落地。</li><li> 行業前沿跟進與場景創新：持續調研工業AI及增材製造智能化前沿方案，對標行業先進落地案例，挖掘全新應用場景，持續拓展AI賦能智能製造的落地邊界，提升公司整體工藝智能化水準。</li></ol>四、任職要求：<ol><li>碩士及以上學歷，電腦、人工智慧、大數據、自動化、軟體工程、機械、材料等相關專業，1-3年AI在工業領域落地經驗。</li><li>具備扎實的AI應用落地能力，熟悉RAG知識庫、Prompt工程、AI Agent智能工作流，瞭解工業大模型應用邏輯，不局限於演算法理論，側重落地實操。</li></ol>掌握Python基礎數據處理能力，能夠獨立完成AI應用PoC原型搭建、數據測試、效果驗證，具備從0到1落地AI專案的實操經驗。<ol><li>具備嚴謹的工業落地思維，懂AI方案驗證邏輯，能夠區分實驗室Demo與工業生產落地的差異，對AI賦能工業製造、智能製造落地抱有極大熱情與職業抱負，願意長期深耕工業AI創新賽道。</li><li>具備優秀的業務洞察與業務梳理能力，善於穿透表面需求、理解業務本質，精准定位業務核心痛點與關鍵問題，擁有成熟、清晰的業務拆解、梳理思路與落地方法論，可高效將複雜業務場景轉化為標準化、可落地的AI解決方案。</li><li>具備出色的跨部門溝通協調與協同推進能力，善於聯動不同職能團隊對齊目標、打通協作壁壘，高效推動AI專案落地迭代。</li><li>有一定的英語能力，聽說讀寫流利。</li></ol>7.具有香港合法工作簽證。五、我們提供：<ol><li>頭部增才製造研究平臺，行業領先的金屬3D列印全場景解決方案（粉末，設備，軟體應用，列印服務）</li><li>全產業鏈視角，內部優質資源支撐，國際化產業視野</li><li>富有競爭力的薪酬</li><li>全面的培訓和學習機會，快速掌握瞭解行業核心知識。</li></ol>

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