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11 дней назад

Testing Engineering, Manufacturing (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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
Testing Engineering, Manufacturing (AI) (AI/manufacturing): Analyzing factory operations data and developing intelligent manufacturing solutions with an accent on quality control, energy consumption, predictive maintenance, and process optimization. Focus on building forecasting and anomaly-detection models, applying NLP and machine learning for root-cause analysis, and deploying data-driven improvements in industrial settings.

Location: Shenzhen Futian 1 Office, Shenzhen, Guangdong Province, China

Company

hirify.global builds large-scale data storage infrastructure for hyperscale data centers, cloud platforms, and enterprise systems supporting the AI-driven data economy.

What you will do

  • Analyze factory operations data related to quality control, energy consumption, and other manufacturing issues.
  • Extract, clean, and analyze data using SQL, Python, and related tools, then communicate insights through Spotfire or Power BI.
  • Research, evaluate, and implement advanced models such as time-series forecasting and anomaly detection.
  • Support AI applications for quality inspection, process optimization, and predictive maintenance, including pilot rollouts.
  • Collaborate with multidisciplinary teams to define business requirements and develop data-driven improvements.
  • Apply NLP and machine learning to intelligent classification, root-cause analysis, and model optimization; prepare technical documentation and project reports.

Requirements

  • Master’s degree or higher in Data Science, Computer Science, Statistics, Industrial Engineering, Automation, Mechanical Engineering, or a related field.
  • Proficiency in Python or R and familiarity with Pandas, NumPy, Scikit-learn, or similar data science libraries.
  • Strong data-processing and SQL skills.
  • Understanding of supervised and unsupervised learning, deep learning, and other AI concepts.
  • Strong analytical, problem-solving, communication, and cross-cultural collaboration skills.
  • Willingness to apply data and algorithms in real industrial manufacturing environments.

Culture & Benefits

  • Full-time employment in a global manufacturing and technology organization.
  • Work on practical AI and digital-transformation initiatives at industrial scale.
  • Inclusive environment focused on diversity, belonging, respect, and contribution.
  • Equal-opportunity workplace with accommodation support available during the application and hiring process.

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