Manufacturing- Data Analytics- Tainan
AI in this role
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.
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.
How we score this
Manufacturing- Data Analytics- Tainan at ASML scores 49 out of 100 on AI centrality, which makes it AI Level 2 of 4 (Uses AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 2. An ordinary role whose duties require using AI tools, such as coding, writing or sourcing with an assistant.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- What are the limits of Copilot that you've run into, and how did you work around them?
- This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
- Tell me about a time an AI tool got something wrong. How did you catch it?
Adapt your resume
- List these exact terms on your resume: AI Agents, Computer Vision, and Copilot. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.
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