「機器學習主任工程師 Principal Engineer（Audio）-E110707」的相似工作

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.

CerenceAI China RD is seeking a Research Engineer to design and implement the next-generation text-to-speech systems and applications. In this role, with members in globe, you will work both frontend (Grapheme-to-phoneme, Text Normalization, phrasing and prosodic control, etc) and backend (acoustic modeling, neural vocoding) components of engine pipelines and end-2-end system for major languages and dialects. Your work will directly impact CerenceAI products ranging from voice assistants to accessibility tools, delivering natural, expressive, and multilingual speech synthesis. Job Description Representative responsibilities/duties will include but not limited to: • Design and optimize text/NLP preprocessing pipelines with Deep Learning or Machine Learning methods, including Grapheme-to-phoneme (G2P) conversion for multilingual support; Text normalization; polyphone disambiguation; Prosody prediction and control • Integrate language models (e.g., BERT, GPT variants) to improve contextual and semantic understanding for natural intonation • Develop rule-based and neural solutions for emotion/style control in synthesized speech • Build state-of-the-art acoustic models (e.g., Tacotron, FastSpeech, VITS) to map linguistic features to spectrograms or waveform parameters. • Optimize neural vocoders (e.g., WaveNet, HiFi-GAN, MelGAN, LPCNet) for high-fidelity, real-time speech synthesis • Optimize inference latencies for both edge devices and cloud platforms • Enhance robustness through noise suppression, speaker adaptation, and multilingual/cross-language/cross -gender voice cloning Knowledge, skills, and qualifications Education: Master in CS, AI, EE, Math, or related field. Required/preferred skills: • hands-on experience in speech generative system development with deep expertise in both frontend and backend components • Proficiency in C/C++ and Python, with mastery of ML frameworks (PyTorch, TensorFlow, etc) • Some background in NLP techniques and/or speech signal processing is welcome • Knowledge on transformer-based language models for prosody prediction • Basic understanding of autoregressive / non-autoregressive acoustic models and neural vocoders • Experience in optimizing models via quantization, pruning, or knowledge distillation • Experience with ONNX Runtime, TensorRT, or TorchScript, etc • Experience with zero-shot/one-shot/few-shot voice cloning or emotional TTS systems • Skilled GPU/TPU cluster and grid user • Fluent English is a must-have

CerenceAI China RD is seeking a Research Engineer to design and implement the next-generation text-to-speech systems and applications. In this role, with members in globe, you will work both frontend (Grapheme-to-phoneme, Text Normalization, phrasing and prosodic control, etc) and backend (acoustic modeling, neural vocoding) components of engine pipelines and end-2-end system for major languages and dialects. Your work will directly impact CerenceAI products ranging from voice assistants to accessibility tools, delivering natural, expressive, and multilingual speech synthesis. Job Description Representative responsibilities/duties will include but not limited to: • Design and optimize text/NLP preprocessing pipelines with Deep Learning or Machine Learning methods, including Grapheme-to-phoneme (G2P) conversion for multilingual support; Text normalization; polyphone disambiguation; Prosody prediction and control • Integrate language models (e.g., BERT, GPT variants) to improve contextual and semantic understanding for natural intonation • Develop rule-based and neural solutions for emotion/style control in synthesized speech • Build state-of-the-art acoustic models (e.g., Tacotron, FastSpeech, VITS) to map linguistic features to spectrograms or waveform parameters. • Optimize neural vocoders (e.g., WaveNet, HiFi-GAN, MelGAN, LPCNet) for high-fidelity, real-time speech synthesis • Optimize inference latencies for both edge devices and cloud platforms • Enhance robustness through noise suppression, speaker adaptation, and multilingual/cross-language/cross -gender voice cloning Knowledge, skills, and qualifications Education: Master in CS, AI, EE, Math, or related field. Required/preferred skills: • hands-on experience in speech generative system development with deep expertise in both frontend and backend components • Proficiency in C/C++ and Python, with mastery of ML frameworks (PyTorch, TensorFlow, etc) • Some background in NLP techniques and/or speech signal processing is welcome • Knowledge on transformer-based language models for prosody prediction • Basic understanding of autoregressive / non-autoregressive acoustic models and neural vocoders • Experience in optimizing models via quantization, pruning, or knowledge distillation • Experience with ONNX Runtime, TensorRT, or TorchScript, etc • Experience with zero-shot/one-shot/few-shot voice cloning or emotional TTS systems • Skilled GPU/TPU cluster and grid user • Fluent English is a must-have

CerenceAI China RD is seeking a Research Engineer to design and implement the next-generation text-to-speech systems and applications. In this role, with members in globe, you will work both frontend (Grapheme-to-phoneme, Text Normalization, phrasing and prosodic control, etc) and backend (acoustic modeling, neural vocoding) components of engine pipelines and end-2-end system for major languages and dialects. Your work will directly impact CerenceAI products ranging from voice assistants to accessibility tools, delivering natural, expressive, and multilingual speech synthesis. Job Description Representative responsibilities/duties will include but not limited to: • Design and optimize text/NLP preprocessing pipelines with Deep Learning or Machine Learning methods, including Grapheme-to-phoneme (G2P) conversion for multilingual support; Text normalization; polyphone disambiguation; Prosody prediction and control • Integrate language models (e.g., BERT, GPT variants) to improve contextual and semantic understanding for natural intonation • Develop rule-based and neural solutions for emotion/style control in synthesized speech • Build state-of-the-art acoustic models (e.g., Tacotron, FastSpeech, VITS) to map linguistic features to spectrograms or waveform parameters. • Optimize neural vocoders (e.g., WaveNet, HiFi-GAN, MelGAN, LPCNet) for high-fidelity, real-time speech synthesis • Optimize inference latencies for both edge devices and cloud platforms • Enhance robustness through noise suppression, speaker adaptation, and multilingual/cross-language/cross -gender voice cloning Knowledge, skills, and qualifications Education: Master in CS, AI, EE, Math, or related field. Required/preferred skills: • hands-on experience in speech generative system development with deep expertise in both frontend and backend components • Proficiency in C/C++ and Python, with mastery of ML frameworks (PyTorch, TensorFlow, etc) • Some background in NLP techniques and/or speech signal processing is welcome • Knowledge on transformer-based language models for prosody prediction • Basic understanding of autoregressive / non-autoregressive acoustic models and neural vocoders • Experience in optimizing models via quantization, pruning, or knowledge distillation • Experience with ONNX Runtime, TensorRT, or TorchScript, etc • Experience with zero-shot/one-shot/few-shot voice cloning or emotional TTS systems • Skilled GPU/TPU cluster and grid user • Fluent English is a must-have

你希望以技術和創意的力量，推動 AI 內容產業的變革嗎？ 我們誠摯邀請你加入我們的行列！ 我們是一家專注於 AI 內容生成、創意影像與社群互動 的創新公司，團隊成員包括 工程師、動畫師、設計師、導演 等多領域專才。我們致力於將 AI 自動化與創意影像結合，打造新一代智能內容生產系統，讓創作效率與品質同時達到業界新標準。 ⸻ 你的職責 • 開發 AI 影像自動化流程，將腳本生成、語音合成、分鏡與影片處理串接成完整 Pipeline。 • 使用 FFmpeg + Python 進行影片自動處理（剪輯、轉碼、字幕嵌入、特效合成）。 • 與 Stable Diffusion / AnimateDiff / ComfyUI 整合，優化 AI 影像生成工作流。 • 與 Adobe Premiere API（ExtendScript / CEP / Media Encoder） 串接，自動化影片後期處理。 • 建立簡易的 API / CLI 工具，為內容製作團隊提供高效率的技術支持。 • 協助 GPU 資源調度與效能優化。 ⸻ 我們希望你具備以下能力與特質 專業技能： • 精通 Python，熟悉多執行緒與批量任務處理。 • 有 FFmpeg 自動化處理影音的經驗（拼接、壓縮、特效套用）。 • 熟悉 AI 影像生成技術（如 Stable Diffusion / ComfyUI） 或有快速學習能力。 • 了解 API 架構（REST / FastAPI / Flask）。 • 熟悉 Linux 環境與 Docker，有 GPU 加速或 CUDA 使用經驗者加分。 經驗與作品： • 有 影音自動化處理系統或 批量處理工具開發經驗者優先。 • 有整合過 AI 影像/語音工具的實務案例者佳。 • 熟悉 Adobe ExtendScript 或 Premiere API 者為加分項。 創意思維： • 對 AI + 影像技術充滿熱情，能主動探索新的工具與技術。 • 喜歡將複雜的人工流程轉化為 自動化、模組化。 團隊合作： • 能與設計師、動畫師、導演順暢協作，提供技術支援。 • 樂於分享、持續學習，具備主動解決問題的態度。 ⸻ 你將獲得的機會 • 接觸最新 AI 影像生成與自動化技術，如 Stable Video Diffusion、Runway Gen-4 等。 • 打造行業領先的 AI 內容生成系統，挑戰高效率與高品質的極限。 • 與跨領域團隊合作，探索 AI 在影像製作中的無限可能。 • 享有 具競爭力的薪酬、彈性工作與開放的創新文化。 ⸻ 加入我們，一起開發下一代 AI 自動化內容引擎，讓創意與技術的價值最大化！

Position Overview We are looking for a highly skilled and motivated Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning, with a focus on developing and deploying ML models and systems. You will be responsible for designing, developing, and maintaining the infrastructure that powers our innovative AI products and services. Responsibilities Model Evaluation: Understanding of and experience in evaluating machine learning models, including running benchmarks. Data Management: Implement and manage datasets, ensuring data integrity and efficiency. Algorithm Optimization: Optimize machine learning algorithms for performance, reliability, and scalability. Collaboration: Work closely with data scientists, backend developers, and other stakeholders to ensure integration and functionality. Code Quality: Write clean, maintainable, and testable code, following best practices and development standards. Documentation: Maintain thorough documentation for machine learning processes and systems. Research and Development: Stay updated with the latest technologies and methodologies related to machine learning and AI. Must-Have Qualifications Educational Background: Master's degree in Computer Science, Machine Learning, or a related field. Programming Languages: Familiarity with at least one programming language commonly used in machine learning, such as Python, R, or Java. ML Frameworks: Experience working with machine learning frameworks (e.g., TensorFlow, PyTorch). Domain Knowledge: Strong foundation in Multimodal AI and Information Retrieval, with hands-on experience in LLM, RAG and agent-based architectures. AI infra: Experience working on backend infrastructure for model serving or AI workloads. Data Handling and Analysis: Experience in handling large datasets and data processing, data science/analysis skills and techniques for data driven works. Problem-Solving Skills: Good analytical and problem-solving abilities. Teamwork: Strong communication and collaboration skills. Nice-to-Have Qualifications Cloud Services: Familiarity with any major cloud platform (AWS, Azure, Google Cloud) Experience developing machine learning systems for AI-related applications. Agile Development: Familiarity with or participation in Agile development methodologies Work Ethic: Ability to adapt to a fast-paced environment, attention to detail, and a commitment to quality About Us At Truley.AI, we develop AI-powered business and enterprise agents and solutions to assist organizations in improving productivity by accelerating and managing workflows. Our offerings include intelligent meeting assistants, comprehensive resource and knowledge-based management systems, customer support, and customizable workflows for any organization. AI agent-based solutions are transforming business operations. With advances in AI technologies, AI agents are expected to become common in various business segments. Our product vision and strategy focus on developing AI-based companions for business users to enhance productivity and facilitate daily work tasks. For internal engineering development and processes, we use AI tools to support more efficient and agile development. As an early-stage startup, we are at the forefront of AI innovation, developing cutting-edge technologies that solve real-world problems and enhance user experiences. We value creativity, ownership, collaboration, and excellence. Our team is small yet driven, and we seek individuals who share our mindset and excel in a fast-paced, agile environment while addressing complex challenges. We strive to create an environment where our team members can thrive and grow professionally. Founder was a Partner Director of Engineering at Microsoft corporate headquarters. He has extensive and deep experience and knowledge on research and development, proven track record of data driven based product delivery, engineering process, and people management.

We are seeking a highly skilled Senior Software Engineer for the development and release of software products by transforming research outcomes into production-ready solutions. The ideal candidate will be responsible for ensuring software quality through comprehensive testing, managing version upgrades, resolving code conflicts, and maintaining proper documentation. Key Responsibilities: Representative responsibilities/duties will include but not limited to: • Translate research findings and prototypes into production-grade software solutions • Collaborate with R&D teams to bridge the gap between innovation and product delivery • Conduct thorough automated testing, including stability and performance testing, prior to product releases • Develop and maintain CI/CD pipelines to ensure smooth deployment processes • Resolve merge conflicts in version control systems (e.g., Git) • Review and optimize codebase for maintainability and scalability • Ensure compliance with coding standards and best practices • Write comprehensive release notes detailing changes, improvements, and known issues • Maintain technical documentation for development processes and system architecture Knowledge, skills, and qualifications Education: Bachelor’s or above degree from CS or related field Required/preferred skills: • 5+ years of experience in software development • Strong proficiency in C/C++, Java and Python • Experience with automated testing frameworks • Knowledge of performance testing tools • Familiarity with version control systems • Proven track record of delivering production-ready software • Basic deep learning and LLM knowledge and reference framework and optimization with such as ONNX • Excellent problem-solving and communication skills • Good team player with fluent English language capability CerenceAI champions diversity and innovation. We welcome applicants from all backgrounds to work on cutting-edge AI voice technology, shape the future of human-machine interaction, and join a team that values innovation and collaboration.

1. Audio, Speech Recognition, Communication quality validation and analyzing. 2. Specification/Procedure/Regulatory research and development. 3. Test sequence/quality improvement and automation. 4. Training courses delivering. 5. Customer consulting and service.

1. 開發音訊演算法 (單麥克風與麥克風陣列) 2. 數位信號處理 3. 浮點與定點模擬coding 4. DSP程式碼 coding

動見科技從影像 AI 演算法開發到使用者網站平台，打造一個為商業車隊賦能的車隊管理服務，並逐步擴大服務面向。這套已經獲得國內外大型企業採用的解決方案正在尋求一位有經驗的AI演算法工程師: ◎《Responsibility》◎ - 建立並維護用於與部署模型的基礎架構於終端裝置上(我們以 Android 裝置為主)，並與其他團隊合作開發相關產品和應用 - 處理電腦視覺需求，並運用開源機器視覺相關演算法及深度辨識模型，對現有產品進行調校與優化 - 進行影像前處理、影像增強等影像處理工作 - 應用最先進的計電腦視覺和深度學習演算法，並將其與尖端技術結合，以滿足產品的標準和需求。 - 參與問題定義、基準設定、數據集分析/收集、模型設計，並進行微調，以實現所需的準確度和速度。 - 將模型組件與產品堆疊進行整合 ◎《Requirements》◎ - 熟悉 Python、Kotlin、Java等程式語言開發，包括使用深度學習和機器學習進行高級電腦視覺解決方案的設計和開發 - 具備電腦視覺和深度學習算法方面的知識和經驗 - 具備在edge device 或cloud platform上構建和部署電腦視覺和深度學習模型的經驗 - 熟悉 Git 版本控制 - 具備影像處理、電腦視覺相關演算法開發經驗3年以上 ◎《Our Preference》◎ - 具有深度學習、電腦視覺和數據分析領域算法的強大的基本原理理解，包括模型開發、數據整理、超參數優化、準確度提升以及適應目標硬體 - 能夠閱讀、理解並實施人工智能/機器學習技術論文 ｜ 動見科技是誰 ｜ 動見成立於2019年，是一間由三位台大教授所創立的破壞式AI新創公司，目前的任務是希望藉由車隊管理來降低危險駕駛行為並維護用路人的安全，未來我們自詡能成為一家Data provider，利用即時影像圖庫提供多元的解決方案。 >>看看動見如何將冷門變熱門 (https://youtu.be/WK0T6C1OOAo?feature=shared) >>最新產品介紹 (https://www.theomnieyes.com/myfleet) ｜為何要加入動見 ｜ 1. 從車隊管理到即時影像圖資，動見科技的潛能跟舞台無限大，快來看看我們榮獲「2023AI大賞」的專題報導 >>違規、疲勞駕駛AI馬上發出警告，車隊管理如何幫了大忙 (https://www.bnext.com.tw/article/75564/omnieyes-theomnieyes-taiwan-impact-ai-award-2023) 2. 由專業評審團針對數位人才轉型、DEI 多元共融、雇主品牌創新指標項目評分，選出代表台灣雇主品牌成功前 20 間優秀企業 >>2023 雇主品牌大賞-優秀企業得獎者之一 << 3. 2024獲選百大新創之一 >>2024新創100大 (https://www.businesstoday.com.tw/article/category/183015/post/202408210049/) ｜ 新世代工作福利主張｜ <優渥薪酬>完整的獎酬及晉升制度 <即時獎勵>半年績效調薪制度，即時回饋員工 <額外休假>每年額外3天有薪病假與2天有薪事假，有事要請假不用再猶豫 <彈性工時>彈性工時08:30-09:30，不再擔心下雨塞車或是睡過頭 <教學相長>完善新人訓練，還有教育訓練補助給你用 <每月活動>月底Happy hour、慶生會及美味餐點，就是要犒賞你 <員工出遊>每年定期舉辦員工出遊日，放電放鬆一起出遊去，不小心發現同事的另一面 <明亮環境>明亮舒適的辦公空間以及歡樂工作氣氛，標配筆電、外接螢幕及無線滑鼠鍵盤

【工作內容】 - 設計、實作及優化 DSP 系統中的 ML 模型，包含但不限於 CTR、CVR 預測、出價策略、受眾預測、商品推薦等。 - 分析海量廣告與用戶行為資料，發掘可改善模型與策略的特徵與規則。 - 協作開發 RTB Server 的即時模型推論功能，確保低延遲、高效能。 - 與數據團隊、平台團隊緊密合作，持續改進模型部署與效果追蹤。 - 研究並應用最新 ML 技術於廣告優化與投放效果提升。 【必備條件】 - 熟悉 ML 相關知識 - 完成過任一 ML 相關 project - 熟悉任一程式語言，例如：C# / python / Java / Git 【加分條件】 - 熟悉任一 open source ML 工具，如 tensorflow, pytorch - 曾參與 ML 相關研究、競賽或發表論文 - 曾參與 open source 專案開發 - 有廣告投放、推薦系統或搜索系統經驗 - 有 A/B Testing、效果評估與 KPI 指標優化經驗 - 熟悉 DevOps / MLOps - 熟悉 Testing - 熟悉 Spark 【待遇】 年薪 100 - 130 萬之間，另含認股權證若干。

本公司核心為AI技術解決方案，改變人們的生活品質，目前致力研發專注於智慧助聽技術與人工智慧視覺應用類別的產品。 【工作內容】 1. 結合深度學習（DL）與傳統電腦視覺，研發影像強化、物件偵測、物件分割等相關技術，並實作於 Edge Device。 2. . 完成主管交辦事項。 【職務需求】 1. 具備人工智慧與電腦視覺開發經驗。 2. 熟悉 C/C++ （尤佳）。 3. 熟悉 OpenCV。 4. 至少擅長一項深度學習框架 （如：Pytorch、Tensorflow）。 5. 具 Git 版本控制知識。 6. 具獨立開發能力。 7. 具良好團隊合作能力，有意願與團隊夥伴分享技術知識。 【加分項目】 1. 具 Embedded System 系統整合經驗。 2. 有布署 AI 模型至嵌入式系統經驗。 3. 熟悉 AI 模型剪技、量化、蒸餾等。

1. 熟悉網站架設, Wordpress, 網頁編排, CSS, HTML, JAVA, JAVA Script, Database 尤佳. 2. 協助業務處理客戶所提出產品相關應用的技術問題，並提供客戶技術支援服務。 3. 協助開發新產品，在新產品上市前，進行應用和測試並支援業務所面臨的技術問題。 4. 協助業務人員處理並改善客戶遇到的異常狀況，進而提昇客戶滿意度。 5. 完成主管交辦事項。 本職位將負責開發產品，提供技術支援服務，解決技術問題。隨著公司業務擴大，這個職位有很大的發展潛力，可以發揮創造力和貢獻公司業務增長。 我們歡迎所有符合資格的申請人加入我們的團隊。如果您對此職位感興趣，請提交您的履歷表和申請信。

Advanced technology team in Delta's CTO Office acts as an engine of innovation, discovering new technologies for business applications. Their core mission is to cultivate Delta's long-term capabilities by synergizing technological advancements with considerations for sustainable competitiveness. 【Responsibilities】 - Conduct advanced research and development related to large language models, including AI agents, pre-training, fine-tuning, and research on algorithms and frameworks; - Explore and implement state-of-the-art (SOTA) methods in the field of large language models; - Collaborate with the development team and business units to explore the feasibility of applying cutting-edge technologies; - Lead experiments in model alignment, safety, and ethical considerations to ensure responsible AI deployment; - Investigate and apply domain-specific adaptations for LLMs to enhance industry relevance; - Monitor advancements in the LLM landscape and contribute to the continuous improvement of research methodologies and tools.

【關於PropTech數位人才招募計劃】 信義企業集團的各項產品與計畫正融入大數據、機器學習與人工智慧等應用，我們的數位團隊具有豐沛的研發能量，截至目前為止，已累積有40多件發明專利與20件設計專利，大幅領先於房仲相關產業者；並持續致力於「房地產科技創新」與「數位居住生活」兩大面向，以創新智能工具，為使用者提供超乎想像的服務體驗。 我們希望讓居住在這片土地上的人們，在「不動產交易買賣」與「居住生活日常」有更好的保障與體驗，也期待你與我們一起，加速這個改變。 這裡匯聚了40年的集團產業資源，以及多元化的人才；接下來，想邀請你加入，與我們一起創造超乎想像的體驗，成就即將到來的未來！ 【職務說明】 1. 負責前後端系統的開發與維護，確保產品穩定與效能。 2. 參與系統架構的規劃與設計，並撰寫相關技術文件。 3. 進行前端功能開發，並持續優化使用者介面與操作體驗。 4. 負責資料庫的設計與優化。 5. 與產品經理、設計師及其他工程師團隊緊密協作，提供必要技術支援。 【其他條件】 1. 熟悉後端技術：ASP.NET MVC / .NET Core / ASP.NET Core、C#，能獨立完成系統分析、開發與維護。 2. 熟悉資料庫（MS SQL），能進行資料表設計、SQL 撰寫與效能優化。 3. 具備前後端性能優化與安全性意識，能確保系統穩定與使用體驗。 4. 對程式開發充滿熱情，樂於嘗試新技術並應用於內部系統整合與重構。 5. 具備良好的溝通與跨部門協作能力，能與產品、設計、業務團隊合作完成專案。

1.Python、API/服務化（FastAPI）、模型佈署（Triton/vLLM/TorchServe） 2.RAG/向量庫（pgvector/Milvus）與評估（Evidently、RAGAS/DeepEval 類） 3.資料治理與模型風險：ISO/IEC 42001、27001、23894、NIST AI RMF、OWASP LLM Top 10 基本觀念 4.A/B 測試、推論效能與成本優化、推論監控（漂移/偏誤/毒化警示） 必備技能 -熟悉 Linux 環境操作 與 Git 版本控制，具備網路相關基礎（DNS、負載平衡 LB、TLS、安全存取及零信任概念） -能進行 SQL 查詢與資料庫操作，支援系統日常維運與資料驗證 -具備 自動化與基礎架構即程式（IaC）能力，能使用 Terraform 建立環境，並透過 Makefile / Taskfile 建立可重現部署流程 -具備文件化能力，能撰寫架構圖、SOP / Runbook 及合規對照文件（ISO ↔ OWASP / 內控），確保系統維運透明化與符合稽核要求

About TXOne Networks TXOne Networks provides cybersecurity solutions for ICS and OT environments using the OT zero trust methodology. We collaborate with top manufacturers and infrastructure operators to develop practical defense strategies that eliminate security vulnerabilities in industrial settings. TXOne ensures the availability of industrial systems by mitigating cybersecurity challenges that can disrupt operations. Our solutions empower customers to benefit from networked control systems while maintaining operational resilience, personnel safety, and asset security. TXOne Networks is honored to be named again as one of the 10 Coolest IoT Security Companies by CRN in Mar 2025. Job Summary As a TXOne AI Engineer in AI team, you will be part of a high performance team that focuses on ICS and OT Cybersecurity solutions. We are seeking a highly skilled AI Engineer to work with product/security team in developing advanced AI-driven security solutions. The ideal candidate will bring a deep understanding of machine learning (ML), deep learning (DL), and Generative AI (GenAI) concepts, with a strong ability to implement practical applications. This role involves designing and implementing models that can process and analyze data derived from various sources, including files and network packets. The successful candidate will possess strong hands-on coding skills, proficiency in AI frameworks such as TensorFlow or PyTorch, and experience in transforming raw data into actionable model inputs for predictions and inference. Key Responsibilities Your role may be in one or more of these areas: • Research and select the most suitable machine learning or deep learning models based on use-case requirements, data patterns, and performance needs. • Develop and deploy AI/ML models tailored for security applications, ensuring they can accurately interpret and process data from diverse sources such as files and network packets. • Design and optimize preprocessing pipelines to transform raw data into high-quality input for AI models. • Collaborate with security experts to understand data patterns, threat vectors, and operational requirements, applying this understanding to enhance model design. • Develop tools to visualize, test, and validate AI model performance and ensure they meet security industry standards. • Collaborate with the engineering team to integrate AI models into security products, ensuring reliable performance and scalability. • Stay up-to-date with the latest advancements in AI, ML, and security technologies, recommending improvements to maintain a competitive edge. Why TXOne Networks? - Shape the Future: Be part of a team that’s at the forefront of Networking Security technology. - Collaborative Environment: Work with dynamic and talented professionals who are passionate about innovation. - Impactful Role: Play a critical role in driving the success of our groundbreaking products. Ready to make your mark in Networking Security? Join TXOne Networks and be a catalyst for the future of connectivity! Equal Opportunities Statement At TXOne Networks, we embrace change, empower people, and encourage innovation in a connected world. Our diversity and multicultural workforce are key contributing factors to our success across the globe. We like to have fun while taking our culture seriously. We are an equal opportunity employer and are committed to this regardless of race, colour, religion, sex, nationality, age, citizenship, sexual orientation, marital status, gender identity or veteran status. We do not allow discrimination or harassment of any kind.

◈【個人｜這個職位的角色與任務】 ✔︎【我們在找的人】: 我們稱工程師為 技術顧問（TC, Technical Consultant）。這個角色不只是寫程式，更是站在客戶與產品的角度，解決真正的商業問題。 你會深入理解「問題背後的問題」，提出有效的技術解法；有時候，甚至一行程式也不用寫。你將與客戶、Product Owner 一起探討問題的本質，找出最合適的技術、流程或架構解決方案。 這是一份能讓你真正「解決問題」，而不只是「完成任務」的職位。 ✔︎【你會做的事】: • 根據客戶需求，設計、開發並維護高效能、高安全性、使用者友善的網路應用程式 • 撰寫與維護產品開發文件，並協助建立維運流程 • 結合產業與產品知識，提出最佳技術解決方案 • 協助提供產品的 輪值式 On-call 支援，並參與自動化與預防性改善 • 與團隊共同解決問題，協助推動跨部門或主管交辦的挑戰與任務 ✔︎【你會使用的技術】 ⇒ 我們鼓勵使用最合適的技術解法，歡迎你帶來新技術的視角與實踐 • C# (.NET MVC / .NET Core) • MS SQL / NodeJS • PowerShell • ELK / ECK / Grafana • Git / GitLab / Jenkins • Hangfire / VueJS / HTML / JavaScript / CSS • GKE / AWS ――― ◈ 團隊｜我們欣賞的特質 ✔︎【我們欣賞的特質】 • 主動觀察與優化 / 反思能力： 不等待指示，能主動發現系統、流程或協作中的問題與改善機會，積極提出想法與建議、推動改進，讓事情變得更好。 • 影響力：能帶動團隊、傳遞知識，提升整體技術文化 • 問題解決：用策略思維整合技術與資源，解決複雜問題 • 數據驅動：習慣用數據觀察問題、衡量效能與調整方向 • 全局觀：能前瞻性地思考系統架構與長期維運 • 學習與適應：熱愛學習，並樂於讓團隊一起變得更好 ――― 「 我們希望找到願意主動觀察、分享並一起讓團隊變得更好的你。」 ―――

精藤公司為【全家便利商店股份有限公司】之子公司，精藤做為集團資訊整合的中心，不但承擔著集團「系統整合」及「Know-How彙整」的責任，同時也扮演了集團最堅強的技術發展領航者及實踐者。 而支援這團隊成長的背後，除了穩定成長的零售通路資訊發展需求以外，亦包含了精藤20年來不斷精進的程式開發技術以及重視團隊合作的組織文化。 在精藤，除了可以學習各項資訊系統規劃、開發、監控與維護（如：物流管理系統、帳務管理系統、商品管理系統，與情報分析系統......等數以百計的資訊系統，精藤皆自行開發與維護），更有完善的公司治理與開發標準，可做為所有資訊人員執行專案時的後盾。 除此之外，精藤近年來亦不斷追求更多新領域的發展，例如：雲端科技應用、大數據資料分析以及行動裝置管理技術等等，誠摯的歡迎所有對於零售流通有興趣的伙伴一同加入精藤的大家庭。 職務內容主要包含行銷投廣與商品貼標等專案執行，核心工作內容包含： 1. 透過數據驅動的方式結合技術與商業行銷思維，優化客戶經營與零售營運效能 2. 分析顧客消費行為與生命週期，找出拉新、留客、喚醒等關鍵因子 3. 開發顧客分群、個性化推薦、流失預測等模型，提升轉換率 4. 設計並執行實驗（如 A/B 測試），評估新模型、活動與行銷策略的成效 5. 以自然語言(NLP)、大型語言模型(LLM、RAG、AGENT)、機器學習模型，與同仁共同開發建置及維運商品標籤庫、標籤模型、會員標籤、商品推薦系統...等應用 需求能力： 1. 自主學習與新技術研發能力 2. 熟悉 Python 與 SQL 進行資料分析 3. 熟悉常見機器學習工具與演算法（如 Scikit-learn、XGBoost、LightFM、CF 等） 4. 熟悉NLP相關的機器學習模型、深度學習模型開發(Summarize、Labeling) 5. 熟悉向量資料庫(faiss, pg_vector…) 6. 具備雲端技術使用經驗(Azure、AWS) 7. 具備程式碼版控、模型版控能力(Git)

我們正在尋找一位具備創新精神與技術能力的生成式 AI 工程師，加入我們的AI團隊，協助企業客戶導入與整合生成式 AI 技術。此職位將與解決方案架構師及其他 AI 工程師密切合作，提供專業服務，將生成式 AI 模型導入客戶的雲端環境與業務流程中，提升營運效率與自動化能力。 【工作職責】 ◎ 協助客戶設計與開發 AI/LLM 解決方案與系統架構 ◎ 使用 LangChain / LangGraph / ADK 等框架開發 AI Agent 或 LLM 工作流程 ◎ 串接與開發 API（FastAPI / Flask / Django 等），協助客戶整合現有系統 ◎ 協助客戶部署與維運 AI 應用於雲端平台（以 GCP 為主） ◎ 進行概念驗證（POC）之規劃、開發與展示，評估技術可行性與落地性 ◎ 與團隊合作進行資料庫設計、資料處理流程優化及雲端架構規劃 ◎ 撰寫技術文件與導入文件，協助專案交付 【職務需求】 ◎ 熟悉 Python，具備良好程式設計與軟體工程基礎 ◎ 熟悉 Git 版本控制與協作流程 ◎ 具備使用 LangChain / LangGraph / ADK 開發經驗 ◎ 熟悉 Prompt Engineering（提示詞工程），能設計有效提示詞並優化模型回應品質 ◎ 熟悉 API 開發框架（FastAPI / Flask / Django 至少其一） ◎ 熟悉雲端平台（GCP 佳）與部署流程 ◎ 熟悉 SQL 語法，具資料庫操作與設計能力 ◎ 熟悉向量資料庫建置流程，及具備向量資料庫操作經驗 ◎ 具備檢索增強生成（RAG）系統開發經驗 ◎ 具備良好的問題分析能力、團隊合作能力與溝通能力 【加分條件】 ◎ 熟悉 GCP Vertex AI 平台並能應用於專案交付 ◎ 熟悉 BigQuery、Cloud SQL 等雲端資料庫操作 ◎ 熟悉 MCP（Model Context Protocol）或 A2A（Agent-to-Agent）等新興代理協作技術 ◎ 曾協助客戶開發或部署 LLM 應用產品（如 Chatbot、Agent、Copilot 類型應用） ◎ 熟悉雲端基礎建設與部署工具，如 GKE、Cloud Run、Pub/Sub、Cloud Composer、Terraform、Cloud Build 等，具備雲端資源自動化部署與 CI/CD 流程建置經驗 ◎ 具備 ML 模型開發經驗（如訓練、微調、部署模型等） ◎ 具備圖片或影音生成、處理相關經驗（如多模態模型、Diffusion、Vision-Language等）