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❝ 跨領域/非相關科系(具相關經驗)➤ 等你來挑戰 ❞ ｜台灣半導體封測 前 ①⓪ 大廠｜ ⑴ 華泰 好 薪情 ☞ 年薪上看 16 個月 ⑵ 華泰 友 職涯 ☞ 專屬輔導員/HR服務窗口 ⑶ 華泰 善 生活 ☞ 福利平台10,000+ 家廠商任你逛 (視營運狀況調整，固定或變動薪資因個人資歷或績效而異) 【工作內容】 1.大數據分析(資料清洗、分析、AI相關演算法建立) 2.資料收集與整理(熟悉ETL、Python、C#開發) 3.SQL資料庫管理 4.SPC系統開發維運及修改

• AI 1. 新科技研發與運用：影像辨識/Machine Learning/Big Data等相關技術研發與應用2. 營運資訊系統開發：智能供應鏈、Turnkey integration等開發暨維護3. 客戶資訊系統開發：Customer B2B Service、Cust. Experience Cloud、CRM AI Assistant等開發暨維護4. 生產計劃系統開發：產能預測、智慧工廠等系統開發暨維護•MES系統:1. 推動數位轉型，協助國內外工廠智慧工廠系統導入與上線支援，MES 系統分析、開發與建置2. 負責大數據分析與 AI 平台建立，掌握關鍵技術推廣•資安: 1. 負責資安相關系統建置與維運，資安網頁管理2. 運用數據分析並優化資安偵測機制，強化企業安全管控• AI1. RD and Application of Emerging Technologies: Research and implement technologies including Image Recognition, Machine Learning, and Big Data.2. Operations Information System Development: Development and maintenance of Intelligent Supply Chains and Turnkey Integration.3. Customer Information System Development: Development and maintenance of Customer B2B Services, Customer Experience Cloud, and CRM AI Assistants.4. Production Planning System Development: Development and maintenance of Capacity Forecasting and Smart Factory systems.• MES System1. Drive digital transformation and support the implementation and go-live of Smart Factory systems for domestic and overseas plants; perform MES system analysis, development, and deployment.2. Responsible for establishing Big Data analytics and AI platforms while promoting core technical expertise.• Cybersecurity1. Responsible for the construction and maintenance of cybersecurity systems and security web management.2. Utilize data analytics to optimize cybersecurity detection mechanisms and strengthen enterprise security controls.

Job Summary:The Statistician/Data Scientist will be responsible for all advanced statistical methods utilized for improving product quality, production yield, and factory effectiveness as well as finding the root-causes, along with other consulting services such as customer targeting and lead scoring in support of sales and marketing activities worldwide.Key Responsibilities:‧ Design, implement, and refine advanced statistical/Machine Learning models to support product quality improvement, increasing yield and factory effectiveness.‧ Cultivate strong relationships with production line engineers, IT, and other key stakeholders to ensure alignment of modeling initiatives with company objectives and to identify new hypotheses for model improvements.‧ Scale out modeling capacity by driving infrastructure improvements such as automation of data preparations, model training, implementation, and optimization.‧ Support integration of models into tools for use by product engineers and business analysts.‧ Engage with customers to develop and customized data analytics solutions to address special needs.‧ Address ad hoc queries from management and present actionable recommendations in a clear, concise, and convincing manner.‧ Communicate the application and benefits of using various predictive modeling techniques to improve decision-making to customers and stakeholders.‧ Collaborate effectively with team members, whether leading projects or supporting initiatives led by others. ‧ Provide direction, training, and guidance to less experienced team members.

"Job Summary:The Machine Learning engineer will be responsible for computer vision related projects, particularly in advanced image/video processing analyses and utilized for improving product quality, production yield, and factory effectiveness, along with other RD activities such as algorithm designs, prototype developments and experimental designs. Key Responsibilities:• Design, implement, and refine advanced Machine Learning/Deep Learning models to support product quality improvement, increasing yield and factory effectiveness.• Cultivate strong relationships with production line engineers, IT, and other key stakeholders to ensure alignment of modeling initiatives with company objectives and to identify new hypotheses for model improvements.• Scale out modeling capacity by driving infrastructure improvements such as automation of data preparations, model training, implementation, and optimization.• Apply deep learning and computer vision techniques, such as image classification, object detection, and support integration of models into tools for use by product engineers and business analysts.• Engage with customers to develop and customized data analytics solutions to address special needs.• Address ad hoc queries from management and present actionable recommendations in a clear, concise, and convincing manner.• Communicate the application and benefits of using various modeling techniques to improve decision-making to customers and stakeholders.• Collaborate effectively with team members, whether leading projects or supporting initiatives led by others. • Research and evaluate new data technology and state-of-art algorithms, and keep up to date with market trends and competitive insights."

We are looking for a Product Owner who drives product execution from idea to launch. This role bridges business needs and technical implementation, ensuring product features are clearly defined, prioritized, and delivered to create measurable business impact.Job Responsabilities:1.Own the product backlog and prioritize features based on business value, customer impact, and technical feasibility.2. Translate business requirements into clear product specifications and acceptance criteria for development teams.3. Work closely with engineering, design, and data teams to deliver product features from concept to launch.4. Define product goals, success metrics, and monitor product performance to identify improvement opportunities.5. Conduct market and competitor research to identify product opportunities and inform product roadmap decisions.6. Collaborate with stakeholders across departments to align business needs and product direction.7. Support production issue investigation and coordinate with technical teams to resolve product incidents.8. Maintain product documentation and ensure clear communication across teams.9. To be on-call based on project needs.10. Handle ad-hoc product initiatives and assignments from management when needed.Qualifications:1. 2+ years of experience in Product Management, Product Ownership, or related roles in software or internet companies.2. Experience delivering software products or features from concept to launch.3. Comfortable working in cross-functional teams with evolving priorities.4. Experience managing product operations or handling production incidents is a plus.Skills:1. Strong analytical mindset with the ability to use data to support product decisions.2. Excellent written and verbal communication skills.3. Ability to translate complex business requirements into clear product specifications.4. Experience working with product analytics or data tools (SQL, Python, etc.) is a plus.