「(IBM Consulting)Senior Data Scientist-Artificial Intelligence」的相似工作

關於我們 我們是一家數據驅動型公司，通過大規模網絡爬蟲為企業提供可操作的洞察。我們的爬蟲團隊是我們數據獲取策略的骨幹，構建和維護複雜的系統，從網絡各處收集、處理和構建數據。 職位概述 作為我們爬蟲團隊的高級後端工程師，您將設計、開發和維護用於大規模數據獲取的複雜系統。您將負責構建強大的爬蟲解決方案，管理複雜的數據管道，並指導初級工程師。根據您的團隊分配，您將專注於維護現有系統或開發新的爬蟲功能。 必要資格 - 計算機科學、工程或相關領域的學士學位，或同等經驗 - 5 年以上後端開發經驗，其中至少 2 年專注於網絡爬蟲 - 3 年以上 TypeScript 經驗 - 大型系統架構、設計、實施經驗 - 熟悉分布式系統和高容量數據處理 - 性能優化和可擴展性開發 - 精通用於爬蟲的最佳實踐、錯誤處理 - 深入理解 HTTP/HTTPS 協議、請求標頭和網絡認證機制 - 具備瀏覽器自動化工具經驗（Puppeteer、Playwright、Selenium） - 了解數據處理管道和 ETL 概念 - 逆向工程網站和 API 的能力 - 雲基礎設施經驗（AWS、GCP 或 Azure） - 容器化技術經驗（Docker、Kubernetes） - 具備 NoSQL 數據庫經驗（MongoDB、Firestore、Cassandra、ScyllaDB） - 具備指導初級工程師的經驗 優先資格 - SDK 開發經驗 - 監控系統經驗 (Prometheus, ELK Stack, Grafana) - 了解無頭瀏覽和 JavaScript 渲染 - 理解反機器人技術和緩解策略 - 具備代理管理和 IP 輪換技術經驗 - 了解數據倉庫概念 - 具備 AI/ML 數據管道經驗 - Monorepo (Nx) 開發環境經驗 - 理解數據隱私法規和道德爬蟲實踐 About Us We are a data-driven company that leverages web scraping at scale to provide actionable insights for businesses. Our Scraper Team is the backbone of our data acquisition strategy, building and maintaining sophisticated systems that collect, process, and structure data from across the web. Job Overview As a Senior Backend Engineer on our Scraper team, you will design, develop, and maintain sophisticated systems for data acquisition at scale. You will be responsible for building robust scraping solutions, managing complex data pipelines, and mentoring junior engineers. Depending on your team assignment, you will focus on either maintenance of existing systems or development of new scraping capabilities. Required Qualifications - Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience - 5+ years of experience in backend development with at least 2 years focused on web scraping - 3+ years of experience in TypeScript - Big system architect, design, implementation experience - Familiarity with distributed systems and high-volume data processing - Background in performance optimization and scalability - Strong proficiency in scraping with best practices, error handling...etc - Deep understanding of HTTP/HTTPS protocols, request headers, and web authentication mechanisms - Experience with browser automation tools (Puppeteer, Playwright, Selenium) - Knowledge of data processing pipelines and ETL concepts - Proven ability to reverse engineer websites and APIs - Experience with cloud infrastructure (AWS, GCP, or Azure) - Experience with containerization technologies (Docker, Kubernetes) - Experience with noSQL databases (MongoDB, Firestore, Cassandra, ScyllaDB) - Experience mentoring junior engineers Preferred Qualifications - Experience with SDK development - Experience with Observability (Prometheus, ELK Stack, Grafana) - Knowledge of headless browsing and JavaScript rendering - Understanding of anti-bot technologies and mitigation strategies - Experience with proxy management and IP rotation techniques - Knowledge of data warehousing concepts - Experience with AI/ML data pipelines - Experience with monorepo development environments (Nx) What We Offer - Competitive salary and benefits package - Mentorship from experienced Senior Backend Engineers - Hands-on experience with cutting-edge data acquisition technologies - Collaborative team environment - Professional development opportunities - Flexible work arrangements - Clear career path to Senior Backend Engineer - Opportunity to work on impactful projects with real-world applications Important Note We are committed to ethical scraping practices and respect for website terms of service. Our scraping activities follow legal guidelines and industry best practices.

We are a dynamic game development company dedicated to creating engaging and innovative gaming experiences through our proprietary brands. Our primary focus is on integrating our services with third-party operators and platforms, allowing players worldwide to enjoy our games. We are currently expanding our data management capabilities to support our back-office reporting and business analytics. # Responsibilities 1. Design and implement database architecture utilizing PostgreSQL for transactional data and MongoDB/DynamoDB for session and game round data. 2. Develop and maintain strategies for data lifecycle management, including procedures for migrating data from hot to cold storage. 3. Set up and optimize data warehousing solutions using technologies such as AWS Redshift. 4. Prepare and maintain data structures to support BI initiatives with tools like Tableau. 5. Monitor database performance, troubleshoot issues, and implement optimization strategies to ensure efficiency. 6. Identify and resolve database deadlocks and other performance bottlenecks. 7. Implement high-availability solutions for business-critical databases. 8. Design and maintain robust backup and recovery procedures. 9. Work closely with development teams to optimize database queries and schema designs. 10. Document database architecture, procedures, and best practices for future reference and compliance. # Qualifications 1. Bachelor's degree in Computer Science, Information Technology, or a related field. 2. 5+ years of experience as a Database Administrator. 3. Strong expertise in PostgreSQL administration, optimization, and SQL query optimization. 4. Experience with NoSQL databases, specifically MongoDB and/or DynamoDB. 5. Proven experience with AWS cloud services, particularly RDS and Redshift. 6. Knowledge of data warehousing concepts, their implementation, and experience with BI tools like Tableau or similar platforms. 7. Strong understanding of database security best practices and experience with database monitoring and alerting tools. 8. Familiarity with Apache Iceberg or other data lake solutions. 9. Understanding of data protection and privacy regulations. 10. Proficiency with automation and scripting for database management tasks. 11. Certification in relevant database technologies. 12. Excellent English communication skills, both written and verbal. 13. Experience in the gaming or iGaming industry is a plus.

本公司為專業社群資料分析廠商，主要產品有《KEYPO大數據關鍵引擎》，透過深度學習在巨量社群資料中洞察網路口碑。本職務需熟悉web crawling techniques, automation, data storage, and data pipelines 【工作內容】 1.設計AI機器人(web crawler)架構，提升抓取的效率和品質 2.維護AI機器人(web crawler)可靠度與可用率 3.設計/優化資料管線與儲存架構 4.參與ETL設計與實作 5.RESTful API開發與維護 6.依能力調整Job Title(資深數據工程師/數據工程師) 【必要技能】 1.熟練運用AI工具進行開發上的協作 2.熟悉Python語法 3.充分了解HTML結構，能解析網頁交換資料的順序步驟　 4.熟悉Git 5.熟悉Linux, Docker 6.熟悉web crawler套件與框架(如Scrapy、Puppeteer、Selenium) 【加分條件】 1.自動化測試：瞭解單元測試、整合測試或其他測試框架。 2.CI/CD 流程：在生產環境中曾使用 Jenkins、GitLab CI 等工具實現持續整合 與部署。 3.容器調度：熟悉 Docker Swarm、Kubernetes 等技術，建構高可用的微服務架構。 4.敏捷開發經驗：具備 Agile / Scrum 開發流程的實務經驗。 5.程式重構 / 大型專案架構設計：具備系統化思考與模組化拆分的能力。 6.Message Queue：如 RabbitMQ、Kafka等的使用經驗。

【請直接投遞至IBM Career Website: https://ibmglobal.avature.net/su/09340396ee23a8e9】 【Introduction】 在IBM Consulting將會與客戶建立長期的關係、緊密的合作，你將會經歷不同產業的客戶，並且藉由混合雲與AI來協助客戶解決問題。我們將藉由你的能力、IBM策略合作夥伴與IBM科技平台(Software, Red Hat)為客戶帶來影響。我們將安排一位Mentor來協助你工作事宜(挑戰現狀、突破創新)。IBM重視每一位同仁的職涯發展與學習機會，將提供多樣化的學習資源讓你可以持續在IBM成長與學習。 【Your Role and Responsibilities】 你將會加入 IBM 校園徵才 Associate Program，我們專注於發掘 IT（測試領域）的人才，並提供學習和成長的機會，為在 IBM Consulting 的工作做好準備。 未來的角色將是測試分析師/測試執行者，這個職位將擁有 IT 和軟體開發的專業知識。IBM 測試團隊專注於測試自動化和生成式 AI 測試，因此我們期望你在這個角色中成長為測試自動化專家或生成式 AI 測試專家。在專案中，你會接觸到現代技術，如雲端（IBM Cloud、AWS 或 Azure）、生成式 AI、AI、OpenShift 等等。 你將負責： - 根據產品需求創建/更新手動測試案例/測試文檔。 - 作為測試和自動化工程師，確保產品能持續交付給利益相關者。 - 創建/更新測試環境和代碼，執行自動化測試場景和環境。 - 與開發和系統測試團隊合作，確保產品的質量、可用性和可維護性。 - 工程師需要完全驗證產品/系統的功能/組件，確保其正常運行並符合設計規範。

【本職缺優先審核高通官網投遞人選】請依照工作年資上傳英文履歷表 應屆畢業生~3年以下工作經驗: https://qualcomm.wd12.myworkdayjobs.com/External/job/Taipei-TWN/AI-Software-Engineer--Core_3071604 3-8年工作經驗: https://qualcomm.wd12.myworkdayjobs.com/External/job/Taipei-TWN/AI-Software-Engineer--AI-PC-SDK_3071602 8年以上工作經驗: https://qualcomm.wd12.myworkdayjobs.com/External/job/Taipei-TWN/AI-SW-Engineer--Staff_3071600 【Job Description】 As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software. 【Job Overview】 Qualcomm stands as a beacon of innovation, pioneering the forefront of on-device AI and unlocking the transformative potential of 5G. Our breakthroughs herald an era of unparalleled connectivity, sparking possibilities that will reshape industries, generate employment, and enrich lives. At the heart of this revolutionary era, Qualcomm's commitment to on-device AI leadership stands unmatched. Shaping 5G's potential into world-altering technologies demands inventive minds, diverse skills, and cultural backgrounds—a defining epoch known as the Age of Invention.. Are you poised to immerse yourself in the forefront of technological evolution, comparable in significance to the advent of the Internet? Machine learning is poised to revolutionize EVERYTHING. In Taiwan, our AI Software Engineering team, collaborating extensively with global AI R&D teams, is at the helm of Qualcomm's pioneering advancements. Join us in leveraging your skills to expand Qualcomm's trailblazing AI portfolio (Qualcomm AI Stack), with a distinct emphasis on a software platform tailored for AI applications in Mobile, Automotive, IoT, and HPC devices, establishing our leadership in the AI PC domain. We integrate cutting-edge hardware with high-performance software, empowering rapid execution of deep neural networks on our unparalleled range of Snapdragon processors, setting the benchmark for minimal power consumption. Your role here is pivotal, enabling advanced machine learning scenarios atop Qualcomm's hardware and software infrastructure. You'll contribute to system software, tool development, maintenance, and evolution for various ML computing SDKs tailored for Qualcomm processors, both on Windows OS and Android OS. Amplifying the SDK's capabilities, collaborate with neural network frameworks like PyTorch and TensorFlow. Extend our neural net engine to support the latest DNNs emerging from the research community and optimize for the next-gen hardware acceleration cores. Additionally, validate engine performance and accuracy through meticulous analysis and comprehensive test coverage. Thrive in software development, wielding exceptional analytical, development, and debugging skills. Partner with industry leaders to usher in the next generation of machine learning technology, solidifying Qualcomm's pioneering stance in the AI PC domain.

1. Utilize advanced algorithms and data mining techniques to build personalized recommendation systems, optimizing product and service recommendations to enhance user experience and improve business conversion rates. 2. Conduct precise analysis of probability distributions in casino games, develop and validate mathematical models to ensure game fairness and risk control, supporting compliance operations and decision-making. 3. Continuously explore and implement various applications of LLMs in business, from natural language processing to intelligent customer service and content generation, driving enterprises toward intelligent transformation. 4. Work closely with various business units, leveraging data analysis and visualization tools to promote a data-driven decision-making culture, helping departments uncover insights from data and develop effective strategies.

Position Overview YAGEO Corporation, a leading global supplier of electronic components, is seeking an energetic, positive, and customer-focused individual to join our team as a mid-level Business Intelligence Developer. We are looking for a skilled and detail-oriented professional with a passion for analyzing requirements and transforming raw data into actionable insights. The ideal candidate will bring 3-4 years of experience developing in Power BI, including strong expertise in M code and DAX, alongside robust SQL skills and a solid background in data modeling and ETL processes. If you’re excited to drive impactful, data-driven decisions in a global organization and thrive in a dynamic, fast-paced environment, we’d love to hear from you! Key Responsibilities -Power BI Development: Design and maintain interactive dashboards and reports in Power BI, leveraging M code and DAX to create compelling, customer-focused data visualizations. -SQL Proficiency: Write and optimize complex SQL queries to extract, manipulate, and analyze data from various databases, ensuring high performance and scalability. -ETL Processes: Design and implement ETL workflows to ensure seamless data integration, quality, and availability for reporting and analysis. -Data Modeling: Develop and maintain logical and physical data models to support reporting, analytics, and business intelligence initiatives, ensuring data accuracy and consistency. -Collaboration: Partner with cross-functional teams to analyze requirements and deliver data solutions that align with YAGEO’s strategic business objectives. -Performance Optimization: Monitor and enhance reporting processes, ETL pipelines, and database queries to improve efficiency and reliability.

【Job Description】 We are seeking a data scientist to address business challenges and fulfill the needs of the product team through data science and machine learning methodologies. This role involves transforming research outcomes—such as models or metrics derived from specific calculations—into scalable products, while also maintaining and supporting existing products. 【Responsibility】 - Define problems from a data science perspective based on business scenarios and propose actionable solutions derived from analytical results. - Independently execute assigned development or experimental projects, including model training, feature extraction and transformation (ETL), and general analytical tasks. - Communicate and explain our research projects to other cross-functional teams, ensuring stakeholders understand our deliverables and insights. 【Must Have】 1. A degree in mathematics, statistics, or a related field. 2. Proven experience in developing machine learning models and bringing them into production. 3. Practical experience in designing product performance evaluation metrics. 4. Familiarity with the design and implementation of A/B testing, with the ability to independently analyze test results. 5.Proficient with tools such as Python, PostgreSQL, BigQuery, and Trino. 6.Excellent communication skills and a collaborative team spirit, capable of working closely with both technical and non-technical teams. # Nice to Have# 1. Hands-on experience with fundamental technologies including Docker and Kubernetes. 2. Hands-on experience with common scheduling tools like Airflow or Argo Workflow. More Info>>>https://www.ikala.tv

固定駐點在外商客戶端(不會變更) 目前急需的是地端環境（SQL SSIS）需要能馬上上手 主要職責： 產業Knowhow 可以訓練,職務需求技能需熟練,能依照指示獨立作業 · 與(客戶端用戶)合作，定義滿足業務需求的要求，同時遵守全球標準和實踐 · 開發和設計視覺化製造智慧解決方案，包括在 Power BI 中開發儀表板、Microsoft Analysis Services 以支援 KPI 的製造營運和效能指標相關分析 · 開發自動化、整合、清理和維護製造資料來源品質和完整性的 ETL · 根據業務分析需求設計資料模型和資料架構。整合各種資料集並建立視覺化資料模型 · 與業務用戶進行資料驗證，編寫測試腳本並記錄缺陷 · 支援營運任務進行問題/請求管理和維護，制定並實施解決問題根本原因的解決方案 · 監控和解決與數據相關的問題，及時提供解決方案和支持，以最大限度地減少停機時間和中斷 所需技能： · 本科以上學歷（資訊科技、電腦科學、軟體工程、工業工程、應用數學、統計學、管理學） · 擁有 3 年使用 Microsoft SQL Server Business Intelligence Development Studio（SSIS、SSRS、SSAS、Power BI）和資料倉儲管理的經驗 · 具備 3 年商業智慧等級職位（分析、商業智慧或儀表板經驗）經驗 · 擁有在全天候製造環境中使用 IT 系統的經驗 · 具有推動和提供新功能以改善業務部門營運的經驗，這些營運符合既定標準和整體 IT 策略方向 · 強大的溝通、演示、組織和協調能力（包括在業務和技術需求之間「轉化」的能力） · 具有良好的持續確定優先順序和高效處理多任務的能力。 · 具有良好的團隊合作精神，人際溝通能力強，並能獨立工作 · 具備良好的中英文口說、寫作及演講能力，TOEIC 600分以上 所需技能： · 了解製造流程和製造執行系統 · 具備 Python 或 R 經驗者優先 · 微軟認證等業界認可的認證 · 商業智慧知識：SQL、Power BI、Tableau · 擁有實施滿足業務需求且技術完善的 IT 解決方案的良好記錄。 · 了解專案生命週期和應用程式生命週期方法。 · 能夠根據經驗和對專案策略意圖的理解，以批判性思考影響決策 Key Responsibilities: · Collaborate with business users to define requirements that meet business needs while adhering to global standards and practices · Develop and design visual Manufacturing Intelligence solutions, including developing dashboards in Power BI, Microsoft Analysis Services for KPI's supporting manufacturing operational and performance metrics related analytics · Develop ETL that automate, integrate, cleanse, and maintain manufacturing data source quality and integrity · Design data models and data architecture based on business analysis requirements. Integrate various datasets and build data models for visualization · Perform data validation with business user, write test scripts and record defects · Support operation tasks in conducting issue/request management and maintenance, develop and implement resolutions that address the root cause of problems · Monitor and troubleshot data-related issues, providing timely resolution and support to minimize downtime and disruption Required Skills: · Bachelor’s Degree above (Information Technology, Computer Science, Software Engineering, Industrial Engineering, Applied Mathematics, Statistic, Management) · 2 years of experience using Microsoft SQL server Business Intelligence Development Studio (SSIS, SSRS, SSAS, Power BI) and data warehouse management · 2 years of Business Intelligence level role in Analytics, Business Intelligence or Dashboards experience · Experience working with IT systems in a 24/7 manufacturing environment · Experience in driving and delivering new capabilities to improve business unit operations that are in keeping with established standards and the overall IT strategic direction · Strong communication, presentation, organizational and facilitation skills (including ability to “translate” between business and technology needs) · Good ability to continuously prioritize and multitask efficiently. · Good team player with interpersonal skills and the ability to work independently · Good English & Chinese communication in speaking, writing and presentation, TOEIC 600 and above Desired Skills: · Knowledge of manufacturing process and manufacturing execution systems · Experience with Python, R is a plus · Industry-recognized certification such as Microsoft certification · Business Intelligence Knowledge: SQL, Power BI, Tableau · Proven track record of implementing IT solutions that meet business demands and are technically sound. · Knowledge of project life cycle and application life cycle methodologies. · Ability to influence decisions with critical thinking based upon experience and understanding of the strategic intent of the project

Role Summary: Data and technology have revolutionized industrial manufacturing, transitioning operations from manual processes to automated, system-driven approaches. Corning is developing innovative digital solutions for its business divisions and seeks a passionate, skilled Data Technical Leader to build data-driven investment products for reuse, speed, and scalability. We are seeking a passionate and skilled Data Architect to spearhead the creation of data-driven investment products that prioritize reuse, speed, and scalability. This role involves designing, implementing, and maintaining comprehensive data solutions using modern analytics technologies. You will collaborate with various teams to deploy scalable data pipelines that support data transformation, integration, analytics, and business intelligence requirements. You will leverage your experience in software development, data modeling, and ETL processes to build high-performance automated systems and scalable data solutions. Essential Responsibilities: • Design and implement efficient data pipelines using Databricks, DBT, and other technologies to process and store data • Automate data transformations and aggregations using CI/CD practices to ensure high performance and reliability • Develop comprehensive data architectures and maintain data governance frameworks to ensure data quality and security • Design, build and maintain data models and data flow to deliver enterprise shareable data product/datasets • Collaborate with cross-functional teams to integrate data from various sources, ensuring consistency and accuracy • Lead data-centric projects, ensuring solutions meet business and regulatory requirements. • Work within Agile/DevOps frameworks to deliver solutions through iterative sprints.

We are seeking a highly motivated and experienced Senior Deep Learning Engineer to join our innovative team. In this role, you will contribute to designing, implementing, and optimizing cutting-edge deep learning models for radar applications. Specifically, you will work on advanced deep learning solutions that integrate mmWave radar signal processing with state-of-the-art algorithms. Additionally, you will mentor junior engineers and collaborate with cross-functional teams to drive the boundaries of both Radar sensing and AI technology forward. About KaiKuTek KaiKuTek is a global leader in 3D gesture sensing solutions powered by mmWave radar and embedded AI accelerators. We specialize in key technologies, including Antenna-in-Package (AiP), machine learning algorithms, AI accelerators, and 60 GHz radar transceiver design. Following our recent merger with JMicron Technology Corp., a company founded in 2001 and headquartered in Hsinchu Science Park, we have expanded our product portfolio to include high-speed SerDes bridge controller SoCs for storage applications utilizing USB, PCIe, and SATA technologies. Our innovative sensing technology redefines the human-machine interface, combining mmWave radar with high-speed SerDes to unlock new possibilities and application frontiers. Key Responsibilities • Design, develop, and deploy deep learning models for advanced radar applications, requiring computer vision and digital signal processing expertise. • Optimize and fine-tune models for performance, robustness, and deployment on edge or embedding devices. • Collaborate with data scientists, software engineers, and validation teams to understand requirements and deliver high-quality solutions. • Build and maintain tools and pipelines for data preprocessing, model training, evaluation, and deployment. • Stay updated on the latest trends and advancements in AI and deep learning technologies. • Write clear, efficient code following the best software engineering and machine learning practices. • Mentor and guide junior engineers to foster technical growth within the team. Qualifications • Required: o Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. o 2+ years of experience in deep learning and AI model development. o Strong proficiency in PyTorch deep learning framework. o Proficiency in Python and relevant machine learning libraries. o Strong understanding of neural network architectures, training techniques, and optimization algorithms. o Strong problem-solving skills and the ability to work on challenging technical problems. o Excellent communication and collaboration skills. • Preferred: o Experience with deploying deep learning models on production systems. o Familiarity with model quantization, pruning, and optimization for edge devices. o Knowledge of MLOps tools (e.g., MLflow, Kubernetes, Docker) for model lifecycle management.

⚠️Important Notice – Read Before Applying This is not a model training or data science role. We are seeking a software engineer focused on AI framework development, not just using existing tools. ✅About the job Your primary responsibility will be to design and implement sophisticated APIs and runtime environments for our LPU hardware. This requires deep exploration of existing frameworks, coding complex integrations, and optimizing performance. If you are passionate about building the AI infrastructure that enables others to run models, this role is for you. We are looking for a highly skilled software engineer to design and optimize the LPU's AI software stack and runtime environment. ✅Key Responsibilities • Develop and optimize the LPU runtime and software stack, integrating with Hugging Face Transformers, llama.cpp, vllm, etc. • Design and implement APIs to enable efficient model execution on our hardware. • Explore and modify existing AI frameworks to ensure smooth adaptation for the LPU. • mprove runtime performance for heterogeneous computing environments. • Collaborate with hardware teams to optimize hardware-software interactions. • Contribute to the evolution of AI model deployment frameworks. ✅Qualifications • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related fields. • Strong proficiency in C++ and Python, with experience in performance-critical software. • Hands-on experience with AI frameworks (Hugging Face Transformers, llama.cpp, vllm), beyond just using them—modifying, extending, or integrating. • Understanding of runtime systems and heterogeneous computing. • Experience with low-level optimizations, memory management, and parallel execution. • Familiarity with software development tools (Docker, Git, CI/CD). • Analytical thinking and problem-solving skills. ✅Nice to have • 3+ years of experience in compiler technologies, runtime systems, or AI hardware acceleration. • Understanding of hardware-software co-design principles. • Experience with CUDA, ROCm, or other GPU programming frameworks. • Contributions to open-source AI/ML projects. ✅Any additions • Work on cutting-edge AI framework development. • Collaborative and high-caliber engineering team. • Competitive salary and benefits. • Career growth in AI software and system design. ✅How to Apply Send your resume and cover letter. If you have framework-related contributions (e.g., modifications to AI runtimes), please highlight them. Join us in building the AI infrastructure of the future.

We are seeking an AI/ML Engineer with hands-on experience in "Generative AI (GenAI) as well as broader MLOps expertise". This role will focus on designing, training, and deploying AI/ML solutions at scale—especially Large Language Model (LLM)–based applications—while ensuring robust, production-ready ML pipelines and processes. Job description: 1. Generative AI & LLM Development Design, develop, fine-tune, and deploy "large-scale machine learning models (LLMs)" using frameworks/tools such as "OpenAI APIs" , Ollama, Qdrant, etc. ○ Implement Retrieval-Augmented Generation "(RAG)" techniques for optimizing knowledge retrieval and improving model outputs. 2. ML Pipeline & MLOps ○ Build and maintain end-to-end ML pipelines, from data preparation through model training, validation, deployment, and monitoring. ○ Establish and manage model repositories (e.g., "MLflow, Model Registry") to ensure versioning, reproducibility, and reliable rollbacks. ○ Collaborate on continuous integration/continuous deployment "(CI/CD)" processes specific to AI/ML workflows. 3. Infrastructure & Deployment Containerize and deploy models in "Kubernetes" environments (using Helm or similar tools) following DevOps best practices. ○ Integrate model performance monitoring, logging, and alerting solutions to ensure high availability and scalability. 4. AI Workflow Automation & Agents ○ "Build AI-driven agents" , leveraging automation tools (e.g., n8n) for orchestrating tasks and real-time data flows. Connect company datasets securely to GenAI systems and ensure robust data handling and version control. 5. Innovation & Best Practices ○ Stay current with emerging AI/ML and MLOps trends, evaluating new open-source frameworks and tools to enhance the organization’s tech stack. ○ Provide guidance on optimizing ML workflows, including hyperparameter tuning, distributed training, and efficient inference.

1. 熟悉 SQL Server、MySql、MongoDB 建置、管理、維護。 2. T-SQL 及 Stored Procedure 效能調校。 3. 資料庫日常監控、異常排除及系統性能優化。 4. 具 DB HA 架構建置和維護經驗。 5. 提供 RD 諮詢並給予建議，進行 DB-Schema 建置與異動的工作。 6. 資料庫備份管理、災難復原及定期系統升級或更新。

在 2025 年由世界新聞出版協會（WAN-IFRA）於波蘭舉辦的全球數位媒體大獎中，聯合報系榮獲 「最佳 AI 營收策略應用」全球金獎，展現我們以數據與 AI 推動商業創新的實力。產品分析中心正是該專案的核心團隊，誠摯邀請具備數據思維與技術實力的你加入我們，一起打造下一個突破性的資料應用成就。 1. 能處理大量資料，統整交易、行為、數位廣告與調查數據，結合公開資料深入分析，轉化為具體行銷策略與營收成長機會。 2. 擅長撰寫分析報告與簡報製作，能條理清晰地呈現資料觀察與決策建議。 3. 能清楚傳達分析成果並整合意見，能針對不同對象清楚傳達分析內容，並有效整合需求、推進合作任務。 4. 理解資料工程邏輯與流程設計，能支援 ETL 撰寫、資料清理與跨系統欄位整併。 5. 具備良好任務執行力，能依主管指派完成專案並如期交付成果。 【必要條件】 1. 熟悉 SQL 與 Python，具備處理大型資料與多維分析的能力。 2. 具備 GCP 雲端平台使用經驗，了解資料查詢、儲存與權限管理等基本操作。 【加分條件】 1. 熟悉 Vertex AI 或其他大型語言模型（LLM）應用。 2. 具備數位廣告運作與成效分析邏輯與廣告指標判讀能力。

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.

GFO Data Analyst (Taiwan) ***The mandatory skill is SQL & good Data Analysis skill. Python or Java script is preferred. *** [Key Responsibilities] Coordination & Documentation: · Establish strong communication channels with internal and external cross-functional teams. · Proactively identify and collaborate closely with internal teams on any potential risks (and communicate to the relevant stakeholders. · Prepare and perform periodic meetings · Creating and improving templates · Prepare reports and presentations for management review. · Providing clear status reports / presentations in a clear and organized manner. · Report weekly launch related metrics (inventory out of stock, escalations) for 3rd party programs [Projects] · CM management for NPI and SUS · Monitor and resolve escalations within SLA & help to drive supplier · Logistics readiness for new projects to ensure 100% readiness before Ok2Ship · Track and drive factory outbound or field return/rework shipments end to end and are on time through aligning outbound / inbound activities between factory and logistics service providers · Monitor shipment ex-factory qty against MPS and ASN data, reporting actual qty and ASN data results, highlighting any deviations, raising needed bugs and help address any issues within agreed upon SLAs and MPS accuracy & ASN accuracy targets · Ensure factory sending out the ASN at the same day of shipment ex factory date and meets ASN accuracy KPI target · Help document factory issues and drive root cause corrective action on all escalated issues within SLA [Qualifications] · Intermediate proficiency in English, with strong verbal and written communication skills. · Friendly and outgoing personality with a positive attitude towards teamwork and collaboration. · Strong organizational skills and ability to multitask effectively in a fast-paced environment. · 5+ years OEM/ODM/EMS/3PL · Beyond the day-to-day, improve the Android partners experience by contributing to longer term projects and documentation efforts · Work closely with Android Operations to provide seamless support to OEM/ODM/EMS/3PL · JavaScript, Plx Query and excel knowledge is strongly preferred.

我們正在尋找一位對資料處理與架構充滿熱情的資料工程師，具備建立與維護資料平台的能力，能夠與資料科學團隊協作，打造穩定、高效且可擴展的資料基礎建設。 您將負責資料清理、資料管線（Data Pipeline）建置、自動化部署流程與資料平台優化，確保資料能順利流通、轉換與被應用。 【工作內容】 •與團隊共同設計、開發與維運資料管線（ETL）、資料平台，確保資料可用性與穩定性 •優化資料儲存與查詢效能，提升資料應用的準確性與反應速度 •建立並維護資料平台的 CI/CD 流程，實現自動部署、版本控管與異常監控 •協助資料科學家建構機器學習模型所需之特徵工程流程與資料準備管線 •與後端工程師合作，提供穩定的資料 API 或查詢服務，供前端或應用系統存取 •監控資料流程與任務排程，主動發現異常並進行問題排除，確保資料正確與流程穩定 【職能要求】 •三年以上資料處理或資料工程相關經驗，熟悉 Python，具備撰寫 ETL、資料轉換邏輯與架構設計能力 •熟悉 PostgreSQL 與 SQL 效能調校，能處理大規模資料的查詢與轉換 •熟悉 GCP（Google Cloud Platform），能管理雲端資料處理資源與排程任務（如 Cloud Functions、BigQuery 等） •熟悉 Docker 與 Kubernetes，具備處理資料處理流程容器化與資源配置能力 •熟悉 Git 與 CI/CD 流程，能自動化資料處理部署與監控 •具備良好溝通能力，能與資料科學家、後端、BI 分析師協作，確保資料正確傳遞與使用一致 【加分項目】 •具備 Redis 或其他資料快取經驗，能處理即時查詢場景 •熟悉 Terraform 並能協助基礎設施即程式化（IaC）設計 •熟悉 Kafka、Pub/Sub、Airflow 等資料串流／排程工具 •熟悉資料倉儲建模方式（Star Schema、Snowflake Schema）與資料品質檢核機制

【工作內容】 AI Agent 開發： 根據客戶需求，設計、開發、訓練、維護及優化 AI Agent 模型與應用邏輯。 解決方案部署： 將開發完成的 AI Agent 部署至客戶指定的環境（雲端或地端），並確保其穩定運行。 客戶需求探索： 偕同業務/銷售團隊拜訪客戶，進行需求訪談，挖掘並釐清客戶在營運上可透過 AI Agent 解決的問題與期望達成的目標。 技術可行性評估： 針對客戶需求，從技術角度評估實現的可能性、預期效果、所需資源及潛在風險。 技術方案設計與溝通： 向客戶及內部團隊清晰地說明技術方案、架構與執行計畫。 專案協作執行： 與內部開發團隊、業務團隊及客戶方保持良好溝通，確保專案順利推進。 技術研究與導入： 持續關注 AI Agent 領域的最新技術發展，評估並導入適合的新技術或工具。 【職務需求】 程式語言： 精通 Python 及其在 AI/ML 領域常用的函式庫（例如：PyTorch, Scikit-learn, NumPy）。 AI/機器學習基礎： 具備機器學習、深度學習理論基礎，了解常見演算法及其應用場景。 AI Agent 相關經驗： 具備大型語言模型 (LLM) 應用開發經驗，熟悉 Prompt Engineering。 理解 AI Agent 的基本架構、工作流程與挑戰。 軟體開發實務： 熟悉版本控制工具 (Git)、API 設計與串接 (RESTful API)、基本的軟體工程實踐。 雲端服務部署： 熟悉 Google Cloud Platform 或 AWS 服務部署 溝通與表達能力： 能夠清晰地向技術及非技術背景的人員（包括客戶）解釋複雜的技術概念與方案。 問題分析與解決能力： 具備獨立分析客戶需求、定義問題並設計解決方案的能力。 團隊合作精神： 能與業務、工程師等不同職能的團隊成員有效協作。

1. 企業資料倉儲需求分析及文件撰寫 2. 報表設計開發 3. SAP BW系統維運及優化

Edge-AI與LLM應用開發： 1. 基於現有大型/小型語言模型（LLM/SLM），開發Edge端推論應用與微調技術，整合客戶需求至現有產品。 2. 研究與優化自動光學檢測、應用機器學習技術等相關但不侷限之AI模型，於廠端缺陷檢測、資料分析等應用，提升產品智能化功能。 3. 利用Nvidia GPU進行模型訓練與推論優化，確保在地端與雲端的高效能部署。 4. 設計與開發Edge設備上的AI模型部署與維護相關AI工具，並進行效能調優化。 5. 協助開發與AI功能整合的網頁介面，提升使用者體驗與產品展示效果。 6. 研究新興AI技術趨勢，提供技術可行性分析與原型開發。