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14 часов назад

Masters Fresh Grad Only Packaging Engineering (Manufacturing Automation)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Malaysia
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
Masters Fresh Grad Only Packaging Engineering (Manufacturing Automation): Developing and transferring new manufacturing processes from NPI to high-volume manufacturing while improving factory automation, data access, and product quality with an accent on process optimization, statistical analysis, SQL, and machine learning. Focus on designing experiments, integrating manufacturing systems and equipment through APIs and SECS/GEM, and deploying automation and AI solutions in a factory environment.

Location: Onsite at the Penang SDSM Office in Batu Kawan, Malaysia

Company

hirify.global develops flash memory and advanced memory technology products supported by global manufacturing capabilities and Industry 4.0 operations.

What you will do

  • Develop new manufacturing processes for NPI and transfer them to high-volume manufacturing while maintaining quality.
  • Analyze and optimize manufacturing processes using Six Sigma, Lean, statistical analysis, and process simulation.
  • Design experiments to troubleshoot process issues and validate improvements.
  • Develop factory automation applications and integrate manufacturing systems and equipment through web services, APIs, and SECS/GEM protocols.
  • Optimize Oracle SQL and Microsoft SQL Server queries for data access and reporting.
  • Support model fine-tuning, software testing, debugging, and deployment of automation, machine learning, and AI solutions.

Requirements

  • Master’s degree or degree in a relevant technical field is required; the role is for fresh graduates.
  • Relevant fields include Mechatronic Engineering, Computer Engineering, Computer Science, Software Engineering, Electrical Engineering, Data Science, Artificial Intelligence, and Machine Learning.
  • Knowledge of statistical data analysis, regression, distribution properties, process simulation, and machine learning techniques.
  • Programming and data skills in Python, R, and SQL.
  • Experience or academic projects involving manufacturing automation, MES integration, or factory data systems.
  • Strong analytical, problem-solving, communication, teamwork, organization, and multitasking skills.

Nice to have

  • Exposure to Industry 4.0 technologies, real-time dashboards, or manufacturing digital transformation initiatives.
  • Experience with neural networks or fine-tuning pre-trained models on domain-specific datasets.

Culture & Benefits

  • Work in a global memory technology and advanced manufacturing environment.
  • Collaborate with process, equipment, factory automation, and IT teams.
  • Inclusive workplace focused on diversity, belonging, respect, and contribution.
  • Accessibility support is available throughout the application and hiring process.

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