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AI Engineer (Manufacturing)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Taiwan
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
AI Engineer (Manufacturing): Developing and implementing scalable AI solutions for manufacturing operations with an accent on computer vision, predictive analytics, and agentic AI. Focus on driving digital transformation projects from ideation to production deployment within a high-tech semiconductor environment.

Location: Tainan, Taiwan (Onsite)

Company

hirify.global is a leading global supplier to the semiconductor industry, specializing in advanced lithography systems and digital manufacturing solutions.

What you will do

  • Develop and implement scalable AI solutions to improve operational efficiency, quality, and decision-making.
  • Lead AI-driven initiatives including visual inspection, Microsoft Copilot agents, and predictive analytics.
  • Analyze large datasets to identify trends, risks, and improvement opportunities.
  • Design and maintain dashboards, reports, and analytics tools for operational visibility.
  • Drive proof-of-concept and pilot projects from ideation to industrialization.
  • Promote data governance and best practices in digital manufacturing.

Requirements

  • Bachelor’s or Master's degree in Engineering, Computer Science, Data Science, or related fields.
  • Experience in data analytics, automation, or digital transformation projects.
  • Hands-on experience with computer vision, predictive analytics, and generative AI.
  • Proficiency in Python, SQL, Power BI, and Microsoft AI ecosystem.
  • Strong communication skills in English.
  • Ability to work onsite in Tainan, Taiwan.

Nice to have

  • Experience in semiconductor or high-tech manufacturing industries.
  • Familiarity with agile development methodologies.
  • Experience with process mining and workflow automation.

Culture & Benefits

  • Opportunity to shape the future of digital manufacturing.
  • Exposure to cutting-edge AI, automation, and analytics technologies.
  • Collaboration with global engineering and digital transformation teams.
  • Dynamic environment encouraging innovation and continuous learning.

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