Manufacturing- Data Analytics- Tainan

Tainan, Taiwan

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.

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Manufacturing- Data Analytics- Tainan

Introduction to the job

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

Skills

Other information

Inclusion and diversity

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