Manufacturing- Data Analytics- Tainan

ASML is hiring a Manufacturing- Data Analytics- Tainan. Level rates it ; you can apply on ASML.

Level's read on this job

On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions Copilot, Azure AI and Microsoft Copilot among its tools and skills.
Level classes it as a mid-level role.
ASML has 776 other open roles on Level.

AI in this role

Develops scalable AI solutions, computer vision applications, and predictive analytics to drive digital transformation in manufacturing.

CopilotAzure AIMicrosoft CopilotComputer vision

ai-agentscomputer-visionartificial-intelligencedata-analyticspredictive-analyticsprocess-automationmachine-learning

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 rate this

Manufacturing- Data Analytics- Tainan at ASML rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Manufacturing- Data Analytics- Tainan is an open job at ASML.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Tainan, Taiwan.
The job was posted on July 31, 2026.
Seniority: mid.
Applications are handled by ASML. Apply on ASML

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsComputer visionArtificial IntelligenceData AnalyticsPredictive AnalyticsProcess AutomationMachine learningCopilot

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.
Tell me about a project where artificial intelligence was part of your work. What did you do?
Tell me about a project where data analytics was part of your work. What did you do?
Tell me about a project where predictive analytics was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI agents, Computer vision, Artificial Intelligence, Data Analytics, and Predictive Analytics. 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.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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