「F0169 - AI Engineer」的相似工作

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to the next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons, all while shaping the future of connectivity. Responsibilities - System quality assurance to ensure on-time delivery and maintain high quality. - Set testing cases and standards for reliability and design qualifications. - Set compatibility of IP CAM / Doorbell / Camera security Products - Set standards for ORT labs regarding temperature, thermal, reliability, ESD, surge, etc. - Proficient in using oscilloscopes, electronic loads, LCR meters, power meters, and safety testing equipment (Hi-Pot, insulation resistance testers). - Capable of writing test plans and conducting failure analysis (FA, Failure Analysis). - Proficiency in MTBF (Mean Time Between Failures) and FMEA (Failure Mode and Effects Analysis). - Experience in environmental stress testing, especially thermal and reliability systems, and IK Impact and IPXX tests. - Understanding of UL, CE, FCC, IEC60068, MIL-STD-810G, ISTA, ASTM, ISO/TS16949 standards. - Understand the requirements for ESD (Electrostatic Discharge), Surge Test, EMI/EMC (Electromagnetic Interference / Compatibility), and safety testing. Minimum Qualifications (MUST-haves) : - Bachelor's degree & Good English communication skills - An EE / IE degree is better, with knowledge of Networking / Radio / Linux operation - Proficiency in using a multimeter, thermal chamber, data log, and EMC compliance relative - 5+ years of working experience in the hardware test or design quality test field - Love to try and play with new technology and learn the ropes to be the lead test engineer - Familiar with multimeter, Oscilloscope, spectrum analyzer, thermal chamber, power supply, Ethernet traffic analyzer, and electronic load - Good knowledge of setting wireless and Ethernet testing cases. - Experience in hardware testing on POE or battery-powered devices is a plus. - Experience in PoE testing, ESD, thermal testing, power consumption testing, RMA failure analysis and tracking, reliability testing, 2nd Source verification, mechanical inspection, etc. - Enjoy hands-on installation of electronic and consumer tech products, and analyzing their weaknesses from a user’s perspective. - Possesses good emotional intelligence and excellent cross-departmental communication skills. Preferred Qualifications (Nice-to-haves / Plus) : - Basic knowledge of MTBF calculation/test - Familiar with multimeter, Oscilloscope, spectrum analyzer, thermal chamber, power supply, Ethernet traffic analyzer, and electronic load - Good knowledge of setting wireless and Ethernet testing cases. - Experience in Hardware/Firmware testing on Camera, IP CAM, Wireless related enterprise products, is a plus - Experience in RMA failure analysis and tracking, DOE(Design of Experiments), 2nd Source verification, mechanical inspection, etc. - Creative and passionate about exploring new technology applications, unafraid to break conventions and embrace challenges. - Proficient in using tools such as Python, Raspberry Pi, and Arduino. Benefits - International work environment and collaboration with global development teams - Excellent work conditions - Competitive package: great pay, perks, and benefits - Group insurance and health coverage - Flexible working hours and patterns - Complimentary drinks and snacks at the office

We are looking for a talented programmer to serve our client who is Global Top-Tier IT company. You may have to provide quality coding solutions from simple applications to complex algorithm. The ideal candidate will have a passion for software technology and customer business requirements. Attention to details and an analytical mind are essential qualities for a successful career in programming. The goal is to design and build superior and innovative software by writing clean and flawless codes. Programmer Job Duties: 1. Collaborate with client and consultants to review program objectives and requirements 2. Design program logic and algorithm with functionality and performance in mind 3. Write quality codes and conduct testing/debugging 4. Perform software version control and revision history maintenance 5. Document technical design documents and user operating instructions. 6. Handle multiple assignment in parallel according to their priorities Programmer Skills and Qualifications: 1. Computer Science related education background and/or proven programming skill 2. Fluent in English, including oral communication and writing. Working/living experiences with foreigners are preferred 3. Programming skills in C# and/or VB script, SQL 4. Experiences with complex algorithm design and data structure are preferred 5. Problem Solving skill with logical and analytical thinking 6. Fast learner and team player

1. 熟悉自家晶片系統, 能根據客戶需求開發可商業量產的AI model, 包含dataset收集標註, Training, Simulation, 並在自家系統的EVK板端撰寫C程式驗證結果, 並完成系統測試與整合. 2. 協助客戶使用自家開發的 machine learning 套件,online training, 並處理客戶使用上的問題, 例如AI model轉換問題, 或是轉換前後的精度問題. 3. 撰寫test case , 在自家開發的EVK系統上 跑auto test來驗證穩定性. 4. 協助sale or marketing人員準備AI相關的展示, 向客戶介紹推銷自家的SOC. 5. 協助maintain現有的AI算法,或是將算法移植到其他自家SOC上.

工作內容： 1. 將AI ISP 影像處理模型部署至車用控制器平台（如 Qualcomm、NVIDIA、黑芝麻、MTK及各家NPU 等），確保AI模型在各類平台穩定運行。 2. 依據產品需求，評估模型在 GPU、CPU、NPU 等運算單元上的算力需求與資源佔用，進行性能分析與優化。 3. 與 AI ISP 演算法開發人員合作，完成模型移植、壓縮、加速與平台適配。 4. 針對不同平台環境進行測試與調優，確保模型滿足車用場景的即時性、穩定性與可靠性要求。 5. 參與車載系統軟硬體整合，協助解決模型部署過程中的技術問題。 6. 持續關注車用 AI SoC、NPU 與 ISP 平台的最新技術動態，熟悉各家平台與NPU使用方式，並提出相關改善與升級建議。 技能描述： 1. 資訊工程、電機電子工程、光電工程、影像處理等相關專業碩士及以上學歷。 2. 5年以上AI 模型開發或平台部署經驗。 3. 熟悉深度學習模型部署流程，具備 TensorRT、ONNX Runtime、TVM 或類似工具的經驗。 4. 具備 C/C++、Python 程式開發能力，了解嵌入式 Linux 環境。 Responsibilities: 1. Deploy AI ISP models onto automotive computing platforms (e.g., Qualcomm, NVIDIA, Black Sesame, MTK and NPU-based platforms), ensuring stable runtime performance. 2. Evaluate computational requirements and system resource usage (GPU, CPU, NPU, etc.) based on product needs, and perform resource consumption and performance optimization. 3. Collaborate with AI ISP algorithm developers to handle model porting, compression, acceleration, and platform adaptation. 4. Conduct testing and fine-tuning across different automotive platforms to guarantee real-time, stability, and reliability standards. 5. Support software-hardware integration for automotive systems and troubleshoot deployment-related technical issues. 6. Stay updated with the latest automotive AI SoC, NPU, and ISP platform technologies, providing insights for improvements and upgrades. Skills Qualification and Experience: 1. Master's degree or above in Computer Science, Electrical/Electronic Engineering, Optoelectronics, Image Processing, or related fields. 2. Minimum of 5 years of experience in AI model development or platform deployment. 3. Familiar with deep learning model deployment workflows, with hands-on experience in tools such as TensorRT, ONNX Runtime, TVM, or similar frameworks. 4. 4Proficient in C/C++ and Python programming, with a solid understanding of embedded Linux environments.

Introduction to the job Do you like challenges and do you want to work in a fast pacing supply chain environment to support some of the biggest semiconductor companies worldwide? Are you familiar with Logistics Operations and like to managing urgent demands on a daily basis?  If this sounds like you and if you have a strong customer oriented mindset, here is your mission. Role and responsibilities For our Global Operations Center in Taiwan we are searching for Supply Chain Professionals. You fulfill the demand of our customers for spare parts and tools for their maintenance activities on some of the most complex machines in the right quantity and at the right time & cost. Time is of the essence to ensure a seamless production of our customers without interruptions on our machines. -Handling of urgent material requests from worldwide customers in a rolling 24/7 shift system with the right customer focus, while meeting all milestones related to communication and execution -Monitoring of worldwide shipments  -Ability to resolve complex issues and drive improvements to further optimize processes -Ability to support escalations and provide communication proposals for review -Constructive and reliable communication with worldwide stakeholders from all departments within ASML -This position requires shift work. Education and Experience Bachelor's Degree in related subject i.e. Supply Chain Management, Information Science, Engineering etc. preferred -Minimum 1 year of relevant experience in an international company, semiconductor industry is preferred -A tactical thinker with strong interpersonal and communication skills -Analytical thinking and ability to organize and prioritize workload Skills Working at the cutting edge of tech, you’ll always have new challenges and new problems to solve – and working together is the only way to do that. You won’t work in a silo. Instead, you’ll be part of a creative, dynamic work environment where you’ll collaborate with supportive colleagues.  There is always space for creative and unique points of view. You’ll have the flexibility and trust to choose how best to tackle tasks and solve problems. To thrive in this job, you’ll need the following skills: -Stress-resistant; act under high pressure -Flexible; willing to go the extra mile for the customer -Excellent professional communication in English, written and oral -Drive for results; does not stop until solution has been found, even when obstacles arise -Team player -Change management competencies -Convincing, pro-active and “can do” mentality -Cultural awareness -Experience with ERP system(s), SAP R/3 knowledge preferred -Ability to prioritize Diversity and inclusion ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company. Need to know more about applying for a job at ASML? Read our frequently asked questions.

維曙智能為創新AI應用開發商，具有全球市場商業化能力。公司有完整的創新孵化管線，包含從想法到技術與市場開發的完整配套流程，讓您將知識落實在各種實際場域中。如果您對以創新解決現實世界問題充滿熱忱，希望了解AI在產業的實務運作以及現實應用有興趣，這裡會是您大展身手的地方。歡迎加入我們。 您將成為我們 AI 解決方案研發的核心成員。作為數位雙生AI工程師，您將負責在 Sim2Real 平台（如 NVIDIA Isaac Sim、ROS/Gazebo）上測試並驗證 AI 模型與機器手臂系統的整合，並將模擬中成功運行的控制程式部署至實體機台。和不同團隊合作(AI團隊，硬體團隊)優化與測試模型與控制演算法，完成跨部門專案整合與系統調校。 【主要工作內容】 • 使用 NVIDIA Omniverse 平台進行機器手臂建模、運動規劃（正/逆向運動學、避障與優化）及控制程式開發 • 建置與優化模擬環境與數位孿生場景，確保模擬與實體機台行為一致 • 與AI研發團隊合作，將機器手臂模擬系統與公司 SDG（Synthetic Data Generation） 技術串接，用於資料生成與 AI 模型訓練 • 撰寫、維護與優化控制演算法及相關模組，提升系統穩定性與效能 • 與硬體團隊協作，將模擬成果部署至實體機台並進行驗證 • 參與跨部門專案，支持產品研發與驗證流程的自動化。 維曙機器視覺產品服務請參閱: https://www.vizuro.com/corvus

【Job Overview】 We are seeking an expert AI Platform & Agent Architect to lead the design, implementation, and operationalization of GPU-based LLM infrastructure, secure AI Gateway systems, and orchestrated multi-agent workflows. This role entails building AI Gateways to route and govern model/tool access, operating MCP servers, enabling multi-agent collaboration, designing RAG pipelines, and establishing robust LLMOps/MLOps practices. 【Responsibilities】 1. Design and manage GPU-powered LLM inference platforms (e.g. vLLM, Triton) on Kubernetes with CI/CD, monitoring, and resource optimization. 2. Architect and deploy a scalable AI Gateway layer for secure, efficient, fallback-capable model and tool access with observability and rate limiting. 3. Develop and maintain MCP servers, including defining tools/resources, implementing JSON‑RPC session flows and context negotiation per MCP specs. 4. Build multi‑agent orchestration frameworks using MCP, coordinating context exchange, tool usage, session management, and shared memory. 5. Design and implement RAG pipelines using vector databases ( e.g., FAISS, Qdrant, Chroma) to augment agent workflows. 6. Establish LLMOps & MLOps best practices: model versioning, GPU utilization tracking, CI/CD pipelines, and observability (leveraging OpenTelemetry for metrics, traces, and logs). 7. Integrate enterprise-grade authentication (SSO/OAuth) and enforce governance, context-level access control across Gateway and MCP layers. 【Basic Qualifications】 1. Proven experience building AI Gateways: secure routing, token management, failover, rate limit, and observability. 2. Hands-on with MCP server/client architecture: context specification, JSON-RPC session handling, tool negotiation. 3. Strong track record designing multi-agent systems with coordinated tool use and shared context delivery. 4. Expert knowledge in GPU-based LLM inference and orchestration (Kubernetes, CI/CD, inference engines). 5. Experience building Retrieval-Augmented Generation pipelines and integrating vector databases. 6. Solid LLMOps/MLOps background—model lifecycle management, observability, deployment automation. 7. Excellent collaboration and communication skills for cross-functional system architecture work. 【Preferred Qualifications】 1. Familiarity with security and governance for MCP/gateway layers: session scoping, prompt injection mitigation, permission modeling. 2. Proven skills in prompt engineering, model fine-tuning, and inference optimization. 3. Prior experience building internal AI platforms or model registries.

1. Layout & Plan UI: Cowork with UI/UX Team to fit customer requirements. 2. Integration and Development: Use and modify proprietary framework to integrate AI models into production and ensure smooth deployment to customer requirements. 3. Documentation & Maintenance: Document stuff(processes/algorithms/results) for sharing and maintain commitments of projects.

Job Description Expect more. Connect more. Be more at Diebold Nixdorf. Our teams automate, digitize, and transform the way more than 75 million people around the globe bank and shop in this hyper-connected, consumer-centric world. Join us in connecting people to commerce in this vital, rewarding role. We are seeking a talented UI/UX Software Engineer to join our dynamic team. The ideal candidate will be responsible for designing and implementing user interfaces that provide a seamless and visually appealing user experience. This role involves close collaboration with back-end developers, designers, and product managers to ensure the integration of design with backend functionality. This includes activities to configure the system behaviour by defined specification, cooperate on project documents (specification, diagrams, flows, documentation), contribute to the integration phase of a project, and communicate within a development team and with the project manager, solution architect and customer. Participate on the building, configuration and deliver software that manages ATMs and other banking operations. This is a hybrid role, with a blend on working in the office and at the customer’s site. Responsibilities Design and Implementation: Create and implement user interface components for web and mobile applications using JavaScript, HTML5, and CSS3. User Experience: Translate product requirements into user-friendly interfaces, ensuring the technical feasibility of UI/UX designs. Optimization: Optimize applications for maximum speed and scalability. Collaboration: Work closely with other team members to deliver high-quality solutions. Testing and Maintenance: Perform user interface compatibility tests across different browsers and environments, and update applications as needed. Documentation: Develop and maintain documentation regarding user interface design and coding. Qualifications Education: Bachelor's degree in Computer Science, Graphic Design, or a related field. Experience: Several years of experience in UI/UX design and development, with a strong portfolio demonstrating proficiency in tools like Adobe Creative Suite, Sketch, and InVision. Skills: Proficiency in HTML5, CSS3, JavaScript, Figma and a deep understanding of user interface design principles and software development methodologies. Soft Skills: Strong communication, analytical, and problem-solving skills. 期待更多。連接更多。在 Diebold Nixdorf 有更多。 在這個超連結、以消費者為中心的世界中，我們的團隊為全球超過 7,500 萬人提供自動化、數位化和轉換銀行與購物方式的服務。請加入我們的行列，擔任這個重要且有價值的職務，將人與商業聯繫起來。 我們正在尋求一位優秀的 UI/UX 軟體工程師加入我們充滿活力的團隊。理想的應徵者將負責設計和實作使用者介面，提供無縫且視覺上吸引人的使用者體驗。此職務需要與後端開發人員、設計師和產品經理密切合作，以確保設計與後端功能的整合。 這包括依據定義的規格配置系統行為、合作撰寫專案文件（規格、圖表、流程、文件）、為專案的整合階段貢獻心力，以及在開發團隊內與專案經理、解決方案架構師及客戶溝通。參與建立、配置及交付管理自動櫃員機及其他銀行作業的軟體。 這是一個混合職務，混合了在辦公室和客戶現場的工作。 職責 - 設計與實作： 使用 JavaScript、HTML5 和 CSS3 為網頁和行動應用程式建立並實作使用者介面元件。 - 使用者體驗： 將產品需求轉換為使用者友善的介面，確保 UI/UX 設計的技術可行性。 - 最佳化： 優化應用程式，以達到最高的速度與擴充性。 - 協作： 與其他團隊成員密切合作，提供高品質的解決方案。 - 測試與維護： 跨不同瀏覽器和環境執行使用者介面相容性測試，並視需要更新應用程式。 - 文件： 開發和維護關於使用者介面設計和編碼的文件。 資歷 - 教育程度： 電腦科學、平面設計或相關領域的學士學位。 - 經驗： 數年的 UI/UX 設計與開發經驗， - 技能： 精通 HTML5、CSS3、JavaScript、Figma，對使用者介面設計原則和軟體開發方法有深刻的了解。 - 軟性技能： 良好的溝通、分析及解決問題能力。

We are seeking a talented and passionate Audio AI Engineer to join our team. You will be responsible for developing, training, and deploying cutting-edge AI models for real-time and audio noise reduction. Your work will directly impact the clarity and quality of our products, from teleconferencing and communication tools to creative audio production and media. The ideal candidate has a strong background in deep learning, a solid understanding of digital signal processing (DSP) fundamentals, and a keen ear for sound. You will collaborate with a cross-functional team of researchers, software engineers, and product managers to bring innovative audio solutions to life. # Responsibilities 1. Design, develop, and train deep learning models (e.g., neural networks) specifically for audio denoising, dereverberation, and speech enhancement. 2. Curate, manage, and preprocess large-scale audio datasets for model training and evaluation. This includes collecting, cleaning, and labeling noisy and clean audio pairs. 3. Optimize AI models for performance, latency, and resource efficiency, ensuring they can run effectively on various platforms, including cloud servers, mobile devices, and embedded systems. 4. Stay up-to-date with the latest research in audio signal processing, machine learning, and generative AI for audio. Explore and prototype new algorithms and techniques to push the boundaries of audio quality. 5. Work closely with the software engineering team to integrate production-ready models into our software and services. Partner with product and design teams to understand user needs and translate them into technical requirements. 6. Develop robust evaluation metrics and conduct rigorous testing (both objective and subjective listening tests) to ensure the denoising models meet high-quality standards. 7. Diagnose and resolve technical issues related to audio processing pipelines and AI model performance. # Requirements 1. Bachelor's, Master's, in Computer Science, Electrical Engineering, Signal Processing, or a related technical field. 2. Proven experience in a role focused on machine learning, with a specialization in audio, speech, or signal processing. 3. Strong proficiency in Python is a must. Experience with C++ is a plus, especially for low-latency, real-time applications. 4. Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow. 5. A solid theoretical and practical understanding of digital signal processing (DSP) concepts, including time-frequency analysis, filter design, and spectral processing. 6. Familiarity with audio editing software like Audacity, Pro Tools, or Adobe Audition for data inspection and analysis. 7. Proficiency with Git. # Preferred Qualifications 1. Experience in a production environment deploying machine learning models into live systems. 2. Knowledge of specific audio denoising techniques and models (e.g., RNNoise, WebRTC, U-Net architectures for audio). 3. Experience with real-time audio systems and APIs. 4. A background in audio engineering or a related field, with an excellent ear for sound quality. 5. Strong mathematical foundation in linear algebra, probability, and statistics. 6. Experience with cloud platforms (AWS, GCP, Azure) and MLOps pipelines. # Soft Skills 1. Excellent problem-solving and analytical skills. 2. Strong communication and collaboration abilities, with the capacity to explain complex technical concepts to non-technical stakeholders. 3. A passion for audio and a creative mindset for solving difficult audio challenges. 4. Ability to work independently and as part of a highly collaborative team. 5. Proficiency in both English and Chinese, written and spoken.

【工作內容】 1. Architect, design, and develop AI agentic systems 【需求條件】 1.Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field. 2.Experience with RAG/MCP and backend code-generation 【加分條件】 1.Strong understanding of software data structures, algorithms, and proficiency in object oriented coding, preferably in C or C++. Exposure to AI/ML models, accelerators is a plus. 2.Familiarity with PyTorch, Tensorflow, ML models 3.Fluency in English 【工作地點】:台北/南投/WFH

關愛醫護，挑戰全球性問題 ── 期待你的加入！ 在這個瞬息萬變的時代，我們的團隊正致力於解決醫護過勞、醫療供給跟不上需求的嚴峻問題，並以此追求全球市場商機，留下令人矚目的legacy。這個醫病雙輸的困境不僅考驗著我們的智慧，更關乎無數生命健康的重大影響。特別在疫情過後，大量優秀的醫護人員離開崗位後不復返，這讓我們深感迫切，需要投入更多腦力與熱情來攻克這個挑戰。 我們的團隊集結了一群在醫療、數據、AI科技等領域的專業好手。經過深入的臨床洞察，將我們擅長的speech recognition、natural language processing、image recognition等尖端技術，轉化為Medical SIRI+GPT提昇醫療效率與準確性，同時減輕醫護人員的負擔。首發產品”EVAS內視鏡智能醫師助理”已成功導入日本排名第一的國立癌症研究中心醫院，以及多家台灣醫學中心與診所。 公司創辦人廖威宣醫師 ，擁有十多年臨床經驗權威醫師，同時他也是麻省理工學院Sloan MBA校友，曾在國內外不同醫療科技公司擔任副總與顧問職位。廖醫師放下主治醫師與大公司主管的職位，肩負著一群醫護朋友的期待，積極組織了這樣一個天賦滿點的團隊。多年來，我們團隊的努力獲得了國內外權威醫師的讚譽與大廠邀約，成果非凡。 如今，我們正迅速擴充團隊，邀請更多有志之士的加入，共同攜手打造更美好的未來。在這裡，你將有機會參與解決具有全球意義的挑戰，並發揮你的專業天賦，成就卓越的事業。如果你渴望挑戰自我、不畏艱難，且熱愛為社會做出貢獻，我們誠摯地邀請你加入我們的行列。 我們期待在這個充滿活力與熱情的團隊中，共同創造出不平凡的未來。立即加入我們，一同開創醫療科技領域的新里程！ ▌工作內容 1. 深入研究大型語言模型（LLM）、AI語音辨識，找到最佳的應用方法，以解決特定領域和任務的挑戰。 2. 利用現有工具（如LLama2）或結合不同套件，開發公司產品所需的AI功能。 3. 持續追蹤最新的AI論文和技術，評估其在實際應用中的可行性。 4. 與其他工程師密切合作，參與數據處理、模型訓練和模型部署的工作。 ▌符合資格 1. 擁有一年以上的文字分析相關專案開發經驗。 2. 具備對語言模型（如BERT、GPT、Transformer等）運作原理深入了解，並具有建立預訓練語言模型或fine-tune語言模型以優化文字分析任務的實務經驗。 3. 熟練使用Python，具備深度學習專案開發經驗，並熟悉深度學習框架的使用（例如PyTorch、Tensorflow），且有實際建立、訓練和應用模型的經驗。 4. 具有卓越的邏輯思維能力，熱愛團隊合作，並富有責任感。 5. 對新技術和工具保持好奇心，樂於學習和適應。

維曙智能為創新AI應用開發商，具有全球市場商業化能力。公司有完整的創新孵化管線，包含從想法到技術與市場開發的完整配套流程，讓您將知識落實在各種實際場域中。如果您對以創新解決現實世界問題充滿熱忱，希望了解AI在產業的實務運作以及現實應用有興趣，這裡會是您大展身手的地方。歡迎加入我們。 我們正在尋找一位具備影像處理與深度學習專業的資深 AI / 機器學習工程師，能夠獨立主導模型開發、效能優化與落地實作。此職位需具備優秀的深度學習框架掌握能力，能夠根據資料與任務需求進行模型選擇、訓練流程設計與超參數調整，並具備 AI 產品開發的思維。 【工作內容】 領域：機器視覺 • 負責影像領域 AI 模型的研究、設計與訓練（例如：分類、分割、生成、超解析等任務） • 根據問題需求設計模型架構（CNN / Transformer / diffusion-based models）並進行效能調整 • 透過3D/2D圖學轉換進行多模態資料前處理 • 以深度學習方法, 轉換多模態資料為結構化時間序列資料, 如分類, 辨識, 與異常偵測 • 撰寫可重用模組與封裝良好的 Python 套件，提升團隊研發效率 • 與產品及前後端工程師協作，將模型部署至產品系統或 API • 持續追蹤最新論文與技術趨勢，進行技術導入與內部分享 • 協助 junior 工程師成長並共同解決技術挑戰 • 能針對市場需求提案，論述創新解決方案 維曙機器視覺產品服務請參閱: https://www.vizuro.com/corvus

Please submit your resume via the following link：https://mobagel.typeform.com/to/ojShbwVv Job Function - Design, develop, and maintain AI Agent systems with capabilities in autonomous decision-making and task execution - Implement context management, memory modules (short-term and long-term), and seamless tool/API integrations - Research and apply advanced reasoning methods, including Chain-of-Thought and multi-step planning techniques - Integrate Large Language Models (LLMs) such as GPT, Claude, LLaMA, and Gemini with agent frameworks (e.g., LangChain, AutoGen, CrewAI, LlamaIndex) - Apply local model optimization techniques, including fine-tuning, quantization, and retrieval-augmented generation (RAG) pipelines - Optimize inference performance, scalability, and cost efficiency for enterprise-scale deployments - Collaborate with product managers, system architects, and UX designers to translate technical capabilities into user-facing product features - Write and maintain technical documentation, architectural specifications, and best practice guidelines Your Impact - Extend LLM capabilities beyond text generation, enabling them to function as autonomous, action-oriented Agents - Drive innovation in reasoning, planning, and multi-agent collaboration to unlock new AI capabilities - Bridge the gap between cutting-edge AI research and real-world product implementation - Empower businesses to automate workflows, perform intelligent data analysis, and achieve operational efficiency at scale - Shape the next generation of AI-powered enterprise applications and solutions Qualifications - Bachelor’s degree in Computer Science, AI/ML, or related field; Master’s degree preferred - 3+ years of hands-on experience in AI/ML development, with exposure to LLMs and agent-based frameworks - Proficiency in Python; familiarity with TypeScript/JavaScript is a plus - Experience with agent frameworks such as LangChain, AutoGen, CrewAI, or LlamaIndex - Familiarity with LLM APIs (OpenAI, Anthropic, Google, Meta) and open-source models (LLaMA, Mistral, Falcon, Yi, Qwen, etc.) - Strong understanding of Prompt Engineering, Retrieval-Augmented Generation (RAG), and reasoning techniques (CoT/ToT) - Experience with database technologies (SQL, NoSQL, vector databases) and API integration - Strong collaboration and communication skills, with the ability to work effectively across technical and product teams Preferred Qualifications (Nice-to-Have) - Experience with MLOps/DevOps tools (Docker, Kubernetes, CI/CD pipelines) - Knowledge of distributed systems and scalable AI architectures - Contributions to open-source AI projects (e.g., LangChain, LlamaIndex, AutoGen, Hugging Face) - Experience with multimodal AI applications (speech, vision, video) - Domain expertise in industries such as SaaS, finance, retail, or e-commerce Join Us At MoBagel, you’ll work on state-of-the-art AI solutions, lead impactful projects, and be part of a dynamic and fast-paced startup environment.

工作內容: - 開發與維護 MCP Server （Model Context Protocol Server），與 LLM Client 進行資料交換與指令執行。 - 依照需求開發 API 與資料流邏輯，實現與外部服務或 API 的整合。 - 使用 Docker 建立可重現且可部署的 MCP Server 環境。 - 撰寫單元測試、整合測試，確保系統穩定與效能最佳化。 - 撰寫技術文件，維護架構與開發流程紀錄。 必要條件 - 熟練使用 Java 進行後端開發 - 熟悉基本資料庫（SQL / NoSQL）操作。 - 具備 Git 版本控制經驗。 - 基本 Linux 操作與 Shell Script 能力。 加分條件 - 有Model Context Protocol (MCP)相關開發經驗（如 MCP Server、MCP Tool、MCP Client）。 - 熟悉 MCP Server 串接流程與除錯技巧。 - 熟悉大型語言模型（LLM）與 AI 應用開發。 - 熟悉 Docker 容器化開發與部署流程尤佳 - 略懂Python、Node.js尤佳

我們是一家專注於AI工程的新創公司，正在尋找 AI 工程師，負責開發以 AI Agent 技術提升專業領域工作效率。 核心職責： ．AI Agent 開發與應用：設計並訓練 AI Agent，提升專業領域效率與準確性。 ．知識圖譜建構：整合專業領域知識，建立結構化知識圖譜，支援 AI Agent 進行推理與決策。 ．生成式 AI 應用：利用 LLM、多模態模型輔助、優化與驗證。 ．最佳化與強化學習：應用 GA(遺傳演算法)、RL(強化學習)等技術，開發與優化演算法。 ．跨領域協作：與專業領域合作，驗證 AI Agent 產出的結果，確保其符合標準與規範。 必要條件 ．熟悉機器學習、深度學習相關技術 (PyTorch / TensorFlow / JAX)。 ．具備 AI Agent 相關開發經驗，如 LLM + Tool-Use、強化學習或知識圖譜應用。 ．熟悉數值最佳化、啟發式演算法 (GA、PSO、Bayesian Optimization 等)。 ．具備 Python 開發經驗，並熟悉 AI/ML 相關框架與工程應用。 我們團隊致力於最前沿 AI Agent 技術應用，挑戰與業界專家深度合作，快速累積專業領域 AI 技術經驗。歡迎對 AI有熱情的你加入！

Cloud Infra Automation: Design and deploy infrastructure on bare metal or cloud using Terraform, Ansible, or Helm. Automate workflows with Python or Go. Platform Reliability: Maintain and scale GPU clusters, Kubernetes, and AI-optimized storage (Ceph, BeeGFS, Weka) to ensure stability and performance. Monitoring & Alerting: Use Prometheus, Grafana, ELK, etc., to monitor system health and trigger alerts on anomalies. Capacity Planning: Analyze usage patterns and forecast infrastructure needs for AI workloads. Incident Management: Lead root cause analysis and manage SLOs/SLIs/SLAs to maintain high availability. CI/CD Integration: Work with DevOps/MLOps teams on CI/CD pipelines using GitLab, ArgoCD, or similar tools. Security & Compliance: Secure Linux systems, manage certificates, and enforce access controls (RBAC, LDAP SSO, TLS, segmentation). Documentation & Playbooks: Maintain architecture diagrams, runbooks, and incident playbooks to support knowledge sharing and onboarding.

Key Responsibilities AI-Powered Test Solution Development & Integration: - Design, develop, and maintain innovative AI-driven testing programs and applications using Google AI APIs. - Develop backend services and APIs using Python, Google App Script, and HTML5, ensuring high standards for code quality, performance, and scalability. - Collaborate closely with the testing team to ensure experimental models align with practical testing scenarios and operate stably. System Architecture & Integration: - Design and manage scalable database architectures, including relational and vector databases, based on application requirements. - Design and implement a robust integration layer between backend AI services and Android applications, ensuring efficient and reliable API communication. Quality Assurance & Process Optimization: - Develop and maintain a comprehensive automated testing framework, covering unit, integration, and end-to-end tests. - Establish automated testing pipelines to ensure the stability and quality of AI applications through continuous iteration. Qualifications - Python Development: Solid experience in Python development, with a strong understanding of the software development lifecycle and API design principles. - Web Technologies Proficiency in Google App Script and HTML5 development. - Android Architecture A deep understanding of the Android application lifecycle, core components, and modern Android development architecture patterns (e.g., MVVM, MVI). - Google AI APIs Experience with or high-level familiarity with Google AI services (e.g., Vertex AI, Gemini API). - Generative AI Knowledge A thorough understanding and practical experience with Generative AI, Large Language Models (LLMs), and RAG principles. - Familiarity with the design and SQL operations of relational databases (e.g., PostgreSQL, MySQL) and a basic understanding of vector databases. - Experience in designing and implementing software testing strategies, with knowledge of the purposes and methods of different testing levels. - Ability to clearly articulate complex technical concepts to both technical and non-technical stakeholders. - Excellent English reading and writing skills for independently reviewing technical documentation and for written communication. - Proven ability to independently analyze, diagnose, and resolve complex technical issues. Preferred Qualifications: - 3+ years of professional development experience. - Familiarity with Python testing frameworks (e.g., Pytest, Unittest). - Proficiency with a Python web framework (e.g., FastAPI, Flask, Django). - Experience with containerization technologies (e.g., Docker). - Experience with Android automated testing frameworks (e.g., Appium). - Experience in hardware integration and programming (e.g., using Arduino, - Raspberry Pi for robotics control or IoT device development).

1. 主動式電子掃描陣列 (相控陣列) 雷達系統之演算法開發 - 數位訊號處理 (DSP)、 - 人工智慧 (AI)、 - 資料融合 (Data Fusion)、 - 及慣性導航 (IMU) 整合。 2. 射頻鏈路不理想性之數位校正演算法及檢測流程開發。 3. 偵測與評估之理論極限數學推導 (如CRLB) 及實際工程應用。 4. 最佳化 (Convex Optimization) 問題建構及規格參數設計。 5. 資料統計及量化分析之自動化平台建立。 6. 具備實現演算法於 FPGA/RFSoC 或邊緣運算機 (Edge) 經驗者佳。

FIH作為全球移動通訊設備領導廠商, 並持續擴展多元商業機會，產品專案項目多元發展，包含：手機、聯網通訊產品、車用產品、IOT產品、數位科技技術。參與ODM/OEM大型國際客戶專案，不僅可強化個人與國際客戶合作溝通實務，亦可促進技術交流接軌。 若您具備這些特質：執行力、整合力及追求效率，歡迎您加入FIH 團隊。 【主要工作職責】 1. 設計、開發和實現自動化視覺檢測系統，進行產品檢測、手臂取放料姿態估測等。 2. 能夠解決機器視覺中的問題，例如圖像處理、特徵提取、圖像匹配和目標檢測等。 3. 視覺檢測開發工具以及監控軟體開發，方便操作者快速調整演算法及參數並提供即時監控。 4. 確保檢測系統能夠正常運行，提高生產效率，分析誤判問題。 5. 與團隊成員緊密合作，以確保項目按計劃完成。 6. 研究新的技術和解決方案，以提高系統的性能和穩定性。