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6 дней назад

Digital Transformation Support Intern (AI)

Формат работы
onsite
Тип работы
parttime
Грейд
trainee
Английский
b2
Страна
China
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Digital Transformation Support Intern (AI): Developing and maintaining digital applications for manufacturing and office processes with an accent on data architecture, analysis, visualization, and machine learning. Focus on building data-driven solutions with Python, XGBoost, Random Forest, and AI agent pilots while preparing technical documentation and test scripts.

Location: Wuxi, Jiangsu, China

Company

hirify.global develops machinery, technologies, and solutions for manufacturing, infrastructure, and sustainable communities.

What you will do

  • Develop and maintain digital applications supporting manufacturing and office processes.
  • Support data architecture setup, including basic data structure design and integration.
  • Perform data analysis and create basic visualizations and reports for operational decision-making.
  • Apply mathematical modeling and machine learning algorithms such as XGBoost and Random Forest to data-driven problem solving.
  • Participate in AI-enabled solutions and AI agent pilot projects under guidance.
  • Prepare technical documentation, test scripts, user instructions, and collaborate with cross-functional teams.

Requirements

  • Studying Computer Science, Information Systems, Data Science, Industrial Engineering, or a related major.
  • Basic programming skills in Python.
  • Basic understanding of or strong interest in AI, AI agents, or intelligent automation.
  • Strong learning ability, problem-solving skills, communication skills, and a collaborative mindset.
  • Ability to work independently with guidance.

Nice to have

  • Knowledge of data analysis or data modeling.
  • Experience with mathematical modeling, XGBoost, or Random Forest.

Culture & Benefits

  • Part-time position within hirify.global's Students and Graduates career area.
  • Collaboration with cross-functional teams on improvement initiatives.
  • Opportunity to contribute to digital transformation and AI-related projects.

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