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SanDiskPosted 1 month ago

Packaging Engineer (AI/ML)

On-siteBatu Kawan, Penang, Malaysia

Full TimeMasters DegreeLarge

Job Summary

Integrate assembly/test data pipelines and analyze process data to develop new NPI processes and optimize existing manufacturing workflows. Design experiments to troubleshoot issues, implement Six Sigma and Lean initiatives, and build factory automation applications using modern frontend tools. Develop and optimize SQL queries while integrating equipment via web services and SECS/GEM protocols. Collaborate with process, automation, and IT teams to deliver robust machine learning and AI solutions. Requires a degree in engineering or data science with 3+ years of experience, proficiency in Python, R, and JMP, plus knowledge of neural networks and statistical techniques.

Required Qualifications

  • Bachelor's or Master's degree in Mechatronic Engineering, Computer Engineering, Computer Science, Software Engineering, Electrical Engineering, Data Science, Artificial Intelligence, Machine Learning or a related technical field
  • Min 3 years relevant working experience, as data scientist or engineering field

Desired Qualifications

  • Data Scientist with manufacturing/engineering knowledge
  • Proficiency in statistical data analysis using JMP software
  • Knowledge of statistical techniques in data science (regression, properties of distribution)
  • Knowledge in machine learning techniques (neural network, machine learning)
  • Knowledge in programming language (python, R) and database (SQL) to perform data mining and analysis
  • Strong analytic skills and problem-solving skills
  • Experience or academic projects related to manufacturing automation, MES integration, or factory data systems
  • Exposure to Industry 4.0 technologies, real-time dashboards, or digital transformation initiatives in manufacturing
  • Passionate about technology and continuous improvement in a factory environment
  • Strong communication and teamwork skills
  • Self-motivated, organized, and able to manage multiple tasks in a dynamic environment

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