「機器學習工程師AI / ML Engineer_先進工業電腦視覺解決方案新事業發展部(台北)」的相似工作

・協助研發軟體新技術與新工具 ・金融系統開發 ・負責軟體之分析、設計以及程式撰寫 ・進行軟體之測試與修改

誠品致力於打造結合文化、閱讀與生活的全通路生態圈，透過數位創新提升顧客體驗，實現線上與線下服務的無縫整合。 資訊暨商業應用創新處（ICI）負責誠品各類資訊系統的管理與維運，並專注於全通路服務的技術開發、數據分析、雲端技術與 AI 應用，致力於打造創新高效的數位解決方案。我們的目標是實現數據驅動決策、自動化流程與跨通路無縫連結，推動企業數位轉型。如果您對資訊技術充滿熱情，誠心邀請您投遞此職務，加入 ICI，與我們一同解鎖潛力、編碼未來，穩健前行。 【工作內容】 1.SAP ERP 日常維運 2.業務流程規劃分析 3.ABAP程式開發 4.支援新業務流程導入或現有流程優化相關作業，包含使用者需求訪談、確認及ABAP程式維護、開發等 5.主管交辦事項執行

1.負責ibon需求開發與維運(購物寄貨) 2.協助廠商電文疏通及系統測試 3.協助ibon平台功能優化與整合測試

誠品致力於打造結合文化、閱讀與生活的全通路生態圈，透過數位創新提升顧客體驗，實現線上與線下服務的無縫整合。 資訊暨商業應用創新處（ICI）負責誠品各類資訊系統的管理與維運，並專注於全通路服務的技術開發、數據分析、雲端技術與 AI 應用，致力於打造創新高效的數位解決方案。我們的目標是實現數據驅動決策、自動化流程與跨通路無縫連結，推動企業數位轉型。如果您對資訊技術充滿熱情，誠心邀請您投遞此職務，加入 ICI，與我們一同解鎖潛力、編碼未來，穩健前行。 【工作內容】 1.企業電子表單業務需求訪談、梳理、簽核流程規劃及程式開發。 2.系統及電子表單日常維運、程式偵錯及優化。 3.應用程式、分析報表、跨系統介接程式開發。 4.協調與管理外包廠商。 5.問題追蹤與解決。 6.執行主管交付任務。

1.負責資訊系統之程式開發、單元測試撰寫、功能測試 2.負責資料庫程式開發與維護 3.負責系統開發相關文件撰寫 4.負責系統維護管理與功能更新 5.負責程式資安議題處理及修正 6.新技術構建評估及導入 7.其他主管交辦事項 104僅供職缺參考，若您對此職缺有興趣，請至本行「玉山菁英甄選網站」投遞履歷。如書審通過，後續將邀請您參加面談。【投遞網址：https://esnhr.pse.is/394b2n】

This vacancy is open for talent pool collection. We will contact you if we have proper vacancies that fit with your profile. Job Mission Represent manufacturing and act as gatekeeper from manufacturing to D&E function Add value in overall manufacturing processes such as forming, machining, joining, and assembling Job Description Contribute to the solution of faults and takes the necessary initiatives and practical decisions to ensure zero repeat Identify gaps and drive assigned process improvement projects and successful delivery Initiate and drive new procedure changes and projects Develop and maintain networks across several functional stakeholders Prioritize works and projects based on business situation Transfer knowledge and train colleagues on existing and newly introduced products Education Master degree in technical domain (e.g. electrical engineering, mechanical engineering, mechatronics) Experience 3-5 years working experience in design engineering Personal skills Show responsibility for the result of work Show proactive attitude and willing to take initiative Drive for continuous improvement Able to think outside of standard processes Able to work independently Able to co-work with different functional stakeholders Able to demonstrate leadership skills Able to work in a multi-disciplinary team within a high tech(proto) environment Able to think and act within general policies across department levels 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.

招募台灣地區工程師 公司提供簽證的更新以及新規簽證。 可提供高度人才簽證(5年)額外加20分，提早取得永久居留權。 執行案件為一般商業、金融案件居多，會派至委託公司駐點或在宅。 【工作內容】 1.負責軟體之分析、設計以及程式撰寫。 2.規劃執行軟體架構及模組之設計，並控管軟體設計進度。 3.進行軟體之測試與修改。 4.規劃、執行與維護量產的產品。 5.協助研發軟體新技術與新工具。 【工作職缺】Python軟體開發工程師(工作經驗三年以上) 【徵求條件】JAVA,NET,C#C,C++,Python,salesforce,SAP,PHP,IOS,Android,AWS,React.Ruby.C# （其中有一至兩項擅長的項目歡迎詢問） *無日文N1以上(可無檢定證書,但需聽說讀寫流利)請勿投遞履歷，國外遠端工作不可* 【工作地點】日本關東地區 【工作時間】9:00-18:00 中午休息1小時（依客戶現場為主） 【公司制度】1.提供雇用保險、健康保險、年金保險 2.完全週休2日、GW/夏休／年末年始連休 3.工作產生的交通費實報實銷 4.一年一度健康檢查

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.

工作內容: 1.開發與優化AI視覺影像演算法，應用最新的機器學習和深度學習技術，專注於但不限於影像分類(Classification)、物件偵測(Object Detection)、影像分割(Segmentation)等領域。 2.與團隊合作，將AI模型整合至視覺系統並應用於實際場景。 3.針對實際需求進行模型訓練、評估與優化，運用前沿技術提升模型效能。 4.協助優化開發流程：撰寫單元測試、程式碼審查和重構，確保程式碼品質與可維護性，推動持續集成與持續交付（CI/CD），提升開發效率與系統穩定性。 必要條件: 1.資訊工程、電機電子、機械工程或影像處理等相關科系碩士學歷。 2.無需工作經驗，但需具備至少2年AI影像處理實作經驗。 3.熟悉PyTorch深度學習框架。 4.能配合團隊需求靈活調整工作內容。 5.基本的Git操作能力。 6.良好的表達能力，能清楚闡述解釋過往專案理論。 加分條件: 1.具視覺影像開發經驗，尤其是瑕疵檢測、物件偵測、生成式AI、少樣本學習、OCR等領域。 2.具視覺模型於Windows、邊緣裝置或嵌入式系統上開發與部署經驗（使用Docker）。 3.有大型影像數據集處理經驗，包含數據標註、前處理、清洗、蒐集與整合，並能客製化數據集。 4.具FastAPI或Flask API開發經驗。 5.有撰寫單元測試與CI/CD經驗。 6.有開發ONNXRuntime、OpenVINO、TensorRT或其他深度學習推論框架經驗 ※具影像開發軟體經驗者尤佳 ※優先面試/聘用持有經濟部能力鑑定證書者

工作內容 1. 規劃並執行AI應用開發、數據分析。 2. 配合部門主管工作調度、分配。 技能要求： 1. 具備程式語言(Python/R/Javascript/C#/C++/Java等等...)開發/運維能力。 2. 熟悉以下其中一種技能 - AI影像: 深度學習, computer vision, opencv, pytorch, tensorflow - AI知識: LLM大模型, NLP, RAG, Langchain, 向量資料庫, 知識圖譜 - AI數據: 機器學習, scikit-learn, pytorch, tensorflow - 數據分析: 統計分析, 實驗設計DOE, 6sigma黑帶 3.願意學習新技術。 4.有較強的上進心、執行力、溝通能力、創新能力。 5.有智慧製造相關經驗者佳。 6.歡迎應屆畢業、學習意願強想跨領域的人才。 **該缺會長期出差海外地區，有興趣者可直接來電&來信詢問**

Distributed Computing Infrastructure Designer (ACE D&E VCP infra designer vacancy) Intro ASML is one of the world’s leading manufacturers of semiconductor-chip-making equipment. A majority of the world’s microchips receive their critical lithographic patterning in machines made by ASML. In addition ASML produces metrology tools and advanced applications to analyze and optimize  the performance of the customer production process. Sector and department information: Within ASML, the sector Development and Engineering (D&E) is responsible for the specification, design, integration, qualification, and sustaining of all ASML products. Taking advantage of customer and manufacturing proximity, the D&E Applications of the ASML Center of Excellence (ACE) is located in Linkou, Taiwan Position in the Organization: The holder of the position reports to the Manager of ACE D&E in BL Apps Job Mission: Participate in the development of our distributed data and compute platform infrastructure (on premise cloud solution). Be accurate, be precise and own the specification, design and implementation of features and fixes. Onboard, integrate and configure open source or other packages that support the development of semiconductor process tuning applications on the ASML platform.  Take initiatives in reducing manual actions for install & upgrade, resolve structural stability issues and design automated tests suites to qualify both design and system setup on customer site. Investigate & solve issues, identify root cause, containment, corrective and preventive actions, and work with customer teams to support TSMC, Micron, Samsung, China and many others. Geographical Workplace: ACE (ASML Taiwan, Linkou). Travel to the customer sites or the development headquarters (HQ) in the Netherlands for on-the-job training may be needed as part of the assignment Job Description: You will be working in the virtual compute platform (VCP) and ensure the platform can host analytics applications with the uptime expectation of 4 nine’s (99.99%) in the semiconductor factories of our customers.  The platform is currently developed based on Kubernetes and DC/OS and migration from DC/OS to Kubernetes is in-progress.  We develop the platform aspects in our team. Scheduling of resources, containerization, fail-over and data collection from scanner and measurement devices inside the fab. Installations and upgrades are automated with Ansible and Python. Other technologies you may encounter are Spark for data processing, Kafka for notifications and high volume data ingestion. Hadoop and HBASE are used for data storage. Responsibilities of this role:  Develop and deliver new, key features that have high customer impact and help improve the operation efficiency of customer teams (a.k.a. CS/MO) Support VCP go-lives and complex activities at customers such as D&E on-site / on-duty, escalation handling and containment creation Bridge D&E teams in Netherlands and customer teams in the field to speed up issue handling and solve field issues directly in Asia Join VCP system qualification to fill customer IT gaps in system test and test automation to increase platform reliability and system resilience Educational Level: A relevant BSc or MSc in the area of software engineering, computer science, information systems, IT or MIS Profile: Solid experience with Kubernetes, Python and Ansible  Experience with automatic testing and qualification, if can be part of CI/CD pipeline  Affinity to dig deep into the details of issues, e.g. container orchestration, networking, configuration  Linux expertise, administrator, extensive experience troubleshooting complex Linux issues  Networking expertise, understand TCP/IP protocol, troubleshoot firewall config issues, etc.  Understands RHEV and Virtual Machines  Experience with the following technologies is plus: event & messaging, security, storage solutions (e.g., Hadoop), alert & monitoring solutions and cloud technology (Azure, AWS or GCP)  Personal Skills: Enjoy working with people and willingly face the challenges that come with human interactions Collaborate behaviors: plan and align, manage stakeholders, adapt to changes, and drive for results Accountable and able to communicate professionally with SW/non-SW colleagues worldwide Customer values and quality oriented. You strive to find the best ways or solutions for top results Problem solving. Proven ability to work independently in a team setting and a multi-site environment Personal values: taking initiative, growth mindset, continuous improvement and agile development Fluent spoken and written English or willing to learn/develop Inclusion and diversity 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 inclusion and diversity 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.

About the job Advanced technology team in Delta's CTO Office acts as an engine of innovation, discovering new technologies for business applications. The core mission is to cultivate Delta's long-term capabilities by synergizing technological advancements with considerations for sustainable competitiveness. We are seeking a talented and motivated Edge AI Engineer and Researcher to join our dynamic team. This role is a unique blend of applied research and product development, focused on bringing state-of-the-art machine learning models to resource-constrained devices at the network edge. You will be responsible for the entire lifecycle of our edge AI solutions, from algorithm design and optimization to deployment and performance evaluation in various real-world scenarios. Responsibilities: • Research & Development: Design and develop novel machine learning algorithms specifically for edge devices, focusing on efficiency and resource constraints. • Engineering & Optimization: Optimize and implement efficient ML pipelines for deployment on diverse hardware platforms like microcontrollers, NPU and embedded GPUs. • Deployment & Integration: Deploy AI models into production-level systems and collaborate with other teams to deliver AI-driven features.

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

「台達研究院」(Delta Research Center, DRC)成立於2013年，為台達集團總部研發單位，除致力於大數據分析及物聯網應用與解決方案的開發與整合，加速企業轉型成功，也積極與產官學研生態體系協作，以開放創新模式，創造多贏生態圈。2022年台達研究院進入下一階段，專注於研發台達下下世代(next-next-generation)產品或解決方案之前瞻技術。 在「台達研究院」之下，團隊專注在模擬最佳化、機器人演算法、數位孿生建模與應用，發展具商業價值的AI應用與解決方案。 在「台達研究院」之下，團隊專注在模擬最佳化、機器人演算法、數位孿生建模與應用，發展具商業價值的AI應用與解決方案。 本職缺主要工作內容: 1. 研究、設計、改良與開發最佳化演算法，提供合適的解決方案和服務 2. 運用最佳化與人工智慧技術包括(但不限於以下):  模擬最佳化 Simulation-based Optimization  作業研究 Operations research  元啟發式演算法 Metaheuristic  強化學習 Reinforcement Learning 3. 涵蓋的應用問題包括(但不限於以下):  智能設計 Smart Design  路徑規劃 Path Planning  產能配置 Capacity Planning  生產排程 Production Scheduling  參數最佳化 Parameter Optimization 4. 跨功能與跨部門之溝通合作與專案管理

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

1. 規劃及執行 AI Server/Compute Node/GPU 等之系統整合測試。內容包含硬體/軟韌體/相容性/效能/產品功能等。 2. 產品品質問題追蹤、分析及改善。 3. 依照專案任務需求和客戶開會報告。

「台達研究院」(Delta Research Center, DRC)成立於2013年，為台達集團總部研發單位，除致力於大數據分析及物聯網應用與解決方案的開發與整合，加速企業轉型成功，也積極與產官學研生態體系協作，以開放創新模式，創造多贏生態圈。2022年台達研究院進入下一階段，專注於研發台達下下世代(next-next-generation)產品或解決方案之前瞻技術。 在「台達研究院」之下，團隊專注在模擬最佳化、機器人演算法、數位孿生建模與應用，發展具商業價值的AI應用與解決方案。 本職缺主要工作內容: 1. 以機器學習、深度學習、統計與作業研究等技術，分析內外部客戶資料，提供合適的解決方案 2. 研究與開發人工智慧之演算法、應用和服務 3. 設計、協助及管理資料分析及最佳化專案、培訓等業務推動 4. 參與Smart Design, Smart Manufacturing/智慧製造, 節能最佳化等產業轉型專案。 你/妳將會應用資料分析技術於以下3個類別的問題 1. Smart Design * PCB layout optimization * Carrier Design * Simulation Automation * Design Parameter Optimization 2. Smart Manufacturing * Image Processing * Visual Positioning * LLM-based Application * Digital Twin Simulation * Path planning * Machine Parameter Optimization * Factory Layout/Logistic Optimization 3. Energy Saving * Time Series Analysis * Cooling Strategy Optimization

1. 機器/深度學習模型建模/開發/驗證 2. 影像/聲學訊號處理演算法 3. 算法測試與性能優化 4. 部署邊緣裝置/模型應用落地 5. 前沿AI技術研究 【專業要求】 1. 具一年以上深度學習模型開發相關背景及實務經驗 2. 理解AI NN模型結構並有實際修改/訓練/優化相關經驗 3. 熟悉至少一種AI建模框架：Tensorflow, Keras, pytorch, PaddlePaddle, etc 4. 熟悉 C/C++，模型產品落地使用 5. 積極、熱誠、具有分析解決問題以及溝通能力

1.與顧問搭配,參與AI use case 的專案。 2.AI Agent 技術研究與應用開發。 3.串接既有AI技術，建置AI服務，並能掌握問題關鍵，提出可行的解決方案。 4.維運現有AI 專案系統,持續管理與優化。 ※依學經歷、工作年資敘薪

職責： 1.控制演算法研究，上位機程式，UI設計，計算器程式等開發 2.建立回應函數並形成控制系統 3.訂定介面標準，整合各類控制程式，開發各類別模組標準通用API 4.Porting演算法到新的載體(Raspberry Pi\Jetson Nano) 要求： 1.有軟體發展的經驗 2.熟悉C\C++\C#\Python, 自動化設備設計, 軟體API開發，軟體發展相關設計檔生成，PC介面開發等 溫馨提醒：只有經過台達授權的人員才能處理您的個人簡歷，台達也將遵守相關法規與政策，保護您的個人資料。投遞簡歷視同您同意台達收集您的個人資訊 。

a. Job Description: We are looking for an AI Software Engineer with expertise in performance profiling, model fine-tuning, and architecture identification for large-scale AI models such as Llama, DeepSeek, VLM, Evo-2, LLMs, Robot VLM, and DNA-based models. The ideal candidate has experience with deep learning frameworks, hardware acceleration, and AI optimization techniques to enhance the efficiency and scalability of AI models. b. Performance Profiling & Optimization Analyze and optimize AI model performance across various hardware platforms (GPUs, TPUs, NPUs). Profile training and inference pipelines for memory usage, compute efficiency, and latency. Work with CUDA, TensorRT, PyTorch, and JAX to optimize models for production deployment. Implement quantization, pruning, distillation, and mixed-precision training techniques. Debug performance bottlenecks using NVProf, Nsight, TensorBoard, and PyTorch Profiler. 2. Architecture Identification & Model Analysis Reverse-engineer and analyze LLM/VLM architectures to extract key architectural details. Identify activation functions, attention mechanisms, and parameter distributions in pretrained models. Compare performance trade-offs between transformer-based, mixture-of-experts (MoE), and diffusion models. Work on model compression techniques for real-time AI applications. 3. Fine-Tuning & Customization Fine-tune LLMs, VLMs, and DNA-based AI models on domain-specific datasets. Use LoRA, QLoRA, PEFT, and Adapter methods for parameter-efficient fine-tuning. Implement prompt engineering, retrieval-augmented generation (RAG), and reinforcement learning (RLHF) for LLMs. Train and deploy robotic VLMs for real-world AI applications. c. Qualifications: Bachelor’s/Master’s/PhD in Computer Science, Machine Learning, AI, or related fields. 3+ years of experience in deep learning, model optimization, and AI performance engineering. Strong proficiency in Python, PyTorch, TensorFlow, and JAX. Experience with CUDA, Triton, TensorRT, and ONNX for AI acceleration. Understanding of transformer architectures, vision-language models (VLMs), and multi-modal AI. Familiarity with LLM fine-tuning techniques, large-scale distributed training, and RLHF. Experience working with scientific AI applications (e.g., DNA sequencing, robotics, computational biology). - Non smoking

1.熟悉C#程式語言與使用者介面開發 2.熟悉影像處理軟體(如:e-Vision, MIL, OpenCV, Halcon) 3.具備數位影像處理基礎 4.演算法設計 5.演算法分析及模擬 6.演算法最佳化

- 可接受駐點性質工作：需配合派駐至客戶端，參與並執行軟體專案開發任務。 - 工作態度與團隊合作：具備主動學習精神，重視紀律與責任感，樂於與團隊協作，共同達成專案目標。 - 專業背景與經驗： 具備至少兩年以上程式設計師（PG）、系統開發人員（SD）、系統分析師（SA）、專案經理（PM）、資訊管理人員（MIS）、軟體測試人員（QA）或技術客服（TS）等相關職務。具備專案執行能力，擁有相關專業證照者尤佳。 - 工作地點：台北市內湖為面試地點，實際派駐地點依客戶端需求而定。

【工作內容】 1. 以 NLP 相關演算法處理結構化、非結構化資料 2. 參與 LLM / AI 模型的設計、開發、性能評估 3. 將 LLM / AI 模型部署至生產環境 4. 持續追蹤生成式 AI 的發展及技術 5. 依據專案需求進行 AI 任務的開發（如資訊萃取、語意檢索、智能客服、AI Agent、Multimodal LLM... 等任務） 【必備技能】 1. 熟悉 Transformers 套件與 PyTorch 等深度學習框架 2. 熟悉各大型語言模型（LLM），如 Gemma-3, Llama-4, Mistral... 等模型，了解模型的潛力和限制，能利用 prompt 與 instruct tuning 等方式為特地應用定制 LLM 解決方案 3. 熟悉檢索增強生成（RAG）、資訊檢索（IR）、向量資料庫（Vector Database）等系統架構 【額外加分】 1. 具備 LLM 開發經驗為佳 2. 熟悉 LLM 量化微調技術，如 bitsandbytes、AWQ、GPTQ 以及 LoRA/QLoRA 為佳 3. 熟悉 LLM 訓練/推理加速框架，如 DeepSpeed、Unsloth、vLLM 等為佳 4. 熟悉 Docker 等容器化技術為佳 5. 熟悉 Git 等版本控制指令為佳 6. 熟悉 FastAPI 等 API 開發、串接等技術為佳 7. 熟悉自然語言處理（NLP）任務之開發優化，包括但不限於命名實體識別（NER）、關係萃取（RE）、意圖偵測，情感分析等為佳

Who we are: The Gamania Data Center is expanding, utilizing extensive user data to gain deeper customer insights and develop next-generation products via cutting-edge machine learning. As a leader in the Entertainment industry, we work with data from diverse domains like Gaming, E-commerce, Social Apps, and Media. We are committed to building an integrated infrastructure for data collection and delivering diverse AI solutions. Consequently, our services are now broadly applied across various applications and target markets. As a Machine Learning Engineer, you will collaborate closely with product managers on Machine Learning and Generative AI initiatives. Your work will focus specifically on areas such as Large Language Model (LLM) research, Image Style Transfer, Text-to-Speech (TTS), and Retrieval-Based Voice Conversion (RVC). Our goal is to explore cutting-edge AI technologies and implement them across various applications, ultimately aiming to establish best practices for promoting all Gamania products. Responsibilities: 1. Work with business stakeholders and software engineers to build and maintain data pipelines for machine learning modeling and data analysis 2. Cooperate with software engineers in system design, algorithm developments and solutions/applications deployment with the consideration of quality and latency trade-off 3. Develop new or enhance current data and ETL pipeline from various sources such as server log or content metadata into the big data ecosystem 4. Improve current machine learning solutions based on data analysis of online performance data 5. Conduct research in ML/DL techniques such as computer vision, natural language processing, recommendation system or graph neural network, and cooperate with other machine learning engineers and software engineers to productize the research