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Manufacturing- Data Analytics- Tainan

at ASML

Back to all Data Science / AI / ML jobs
ASML logo
Industry not specified

Manufacturing- Data Analytics- Tainan

at ASML

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 20 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

**Manufacturing Data Analytics Engineer - Tainan: Drive Digital Transformation** Leverage AI and data for manufacturing ops improvement as our **Manufacturing Data Analytics Engineer** in Tainan. Key responsibilities include developing scalable AI solutions, leading AI initiatives (AI Visual Inspection, Copilot Agents, Predictive Analytics, Process Automation), and collaborating with cross-functional stakeholders. Analyze large datasets to identify trends, translate business needs into technical solutions, and enhance operational insights via dashboards and tools. Experience with AI/ML, data analytics tools, and process automation is crucial. Join us to drive digital transformation in manufacturing.

Introduction to the job: The Means & Methods (M&M) team is driving digital transformation across manufacturing operations by leveraging data, automation, and Artificial Intelligence to improve productivity, quality, and decision-making. We are looking for a highly motivated engineer who is passionate about applying AI and digital technologies to solve real manufacturing challenges. In this role, you will work closely with manufacturing, engineering, IT, and global stakeholders to develop scalable solutions that transform the shopfloor and business processes. Role and responsibilities: Provide support in insight generation, data analytics, and digital transformation projects across manufacturing operations. Develop and implement scalable AI solutions to improve operational efficiency, quality, and decision-making. Lead or support AI-driven initiatives, including: AI Visual Inspection Microsoft Copilot Agents and Agentic AI solutions Knowledge Management platforms and enterprise search solutions Predictive Analytics and data-driven decision support Process Automation and workflow digitization Analyze large datasets to identify trends, risks, and improvement opportunities. Collaborate with cross-functional stakeholders to translate business requirements into technical solutions. Design, develop, and maintain dashboards, reports, and analytics tools to enhance visibility and operational insights. Drive proof-of-concept (PoC), pilot projects, and industrialization of digital solutions from ideation to deployment. Support continuous improvement initiatives by leveraging emerging technologies such as AI, machine learning, computer vision, and automation platforms. Promote data governance, solution scalability, and best practices in digital manufacturing. Education and experience: Bachelor’s or Master's degree in Engineering, Computer Science, Data Science, Information Technology, Automation, or related disciplines. Experience in data analytics, automation, or digital transformation projects. Experience in manufacturing, semiconductor, or high-tech industries. Hands-on experience with: Computer Vision and AI Visual Inspection Predictive Maintenance or Predictive Analytics Generative AI and Knowledge Management solutions Process Mining and Workflow Automation Azure AI Services or Microsoft AI ecosystem Experience delivering AI solutions from concept through production deployment. Familiarity with agile development and project management methodologies. Skills: Knowledge of AI/ML concepts and practical applications in manufacturing or business processes. Experience with one or more of the following: Python / SQL/ Power BI/ Microsoft Power Platform / Machine Learning frameworks /Computer Vision solutions / Microsoft Copilot / AI Agent technologies Strong analytical and problem-solving skills. Ability to work independently and in cross-functional international teams. Strong communication skills in English. Other information: Opportunity to shape the future of digital manufacturing. Exposure to cutting-edge AI, automation, and analytics technologies. Collaboration with global engineering, manufacturing, and digital transformation teams. A dynamic environment where innovation and continuous learning are encouraged. The opportunity to create solutions that directly impact manufacturing performance, quality, and operational excellence.

Manufacturing- Data Analytics- Tainan

at ASML

Back to all Data Science / AI / ML jobs
ASML logo
Industry not specified

Manufacturing- Data Analytics- Tainan

at ASML

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 20 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

**Manufacturing Data Analytics Engineer - Tainan: Drive Digital Transformation** Leverage AI and data for manufacturing ops improvement as our **Manufacturing Data Analytics Engineer** in Tainan. Key responsibilities include developing scalable AI solutions, leading AI initiatives (AI Visual Inspection, Copilot Agents, Predictive Analytics, Process Automation), and collaborating with cross-functional stakeholders. Analyze large datasets to identify trends, translate business needs into technical solutions, and enhance operational insights via dashboards and tools. Experience with AI/ML, data analytics tools, and process automation is crucial. Join us to drive digital transformation in manufacturing.

Introduction to the job: The Means & Methods (M&M) team is driving digital transformation across manufacturing operations by leveraging data, automation, and Artificial Intelligence to improve productivity, quality, and decision-making. We are looking for a highly motivated engineer who is passionate about applying AI and digital technologies to solve real manufacturing challenges. In this role, you will work closely with manufacturing, engineering, IT, and global stakeholders to develop scalable solutions that transform the shopfloor and business processes. Role and responsibilities: Provide support in insight generation, data analytics, and digital transformation projects across manufacturing operations. Develop and implement scalable AI solutions to improve operational efficiency, quality, and decision-making. Lead or support AI-driven initiatives, including: AI Visual Inspection Microsoft Copilot Agents and Agentic AI solutions Knowledge Management platforms and enterprise search solutions Predictive Analytics and data-driven decision support Process Automation and workflow digitization Analyze large datasets to identify trends, risks, and improvement opportunities. Collaborate with cross-functional stakeholders to translate business requirements into technical solutions. Design, develop, and maintain dashboards, reports, and analytics tools to enhance visibility and operational insights. Drive proof-of-concept (PoC), pilot projects, and industrialization of digital solutions from ideation to deployment. Support continuous improvement initiatives by leveraging emerging technologies such as AI, machine learning, computer vision, and automation platforms. Promote data governance, solution scalability, and best practices in digital manufacturing. Education and experience: Bachelor’s or Master's degree in Engineering, Computer Science, Data Science, Information Technology, Automation, or related disciplines. Experience in data analytics, automation, or digital transformation projects. Experience in manufacturing, semiconductor, or high-tech industries. Hands-on experience with: Computer Vision and AI Visual Inspection Predictive Maintenance or Predictive Analytics Generative AI and Knowledge Management solutions Process Mining and Workflow Automation Azure AI Services or Microsoft AI ecosystem Experience delivering AI solutions from concept through production deployment. Familiarity with agile development and project management methodologies. Skills: Knowledge of AI/ML concepts and practical applications in manufacturing or business processes. Experience with one or more of the following: Python / SQL/ Power BI/ Microsoft Power Platform / Machine Learning frameworks /Computer Vision solutions / Microsoft Copilot / AI Agent technologies Strong analytical and problem-solving skills. Ability to work independently and in cross-functional international teams. Strong communication skills in English. Other information: Opportunity to shape the future of digital manufacturing. Exposure to cutting-edge AI, automation, and analytics technologies. Collaboration with global engineering, manufacturing, and digital transformation teams. A dynamic environment where innovation and continuous learning are encouraged. The opportunity to create solutions that directly impact manufacturing performance, quality, and operational excellence.

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