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Johnson Electric

Motors, actuators and motion systems manufacturer

AI and Big Data Engineer Trainee

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeJiangmen, Guangdong Province, ChinaNo salary listedIn-person

About the Job

Requirements

  • A master's degree in Computer Science, Artificial Intelligence, Big Data, or a related major is required.
  • Familiarity with machine learning and deep learning algorithms and their applications in engineering is required.
  • Proficiency in Python, R, or another data-analysis programming language is required.
  • Knowledge and skills in mainstream databases, including MySQL and SQL Server, and strong data processing and analysis ability are required.
  • Experience with big data processing and analysis, and familiarity with technologies such as Hadoop and Spark, are required.
  • Good English reading, writing, and communication skills are required.

Responsibilities

  • Participate in developing and optimizing AI algorithms for mold-design and mold-related industrial data.
  • Use big data analysis techniques to collect, process, and analyze production data.
  • Develop and maintain data models to support mold design and manufacturing decisions.
  • Collaborate with cross-functional teams to advance the application of AI and big data technologies in mold design.
  • Integrate automated workflows using Power Automate to minimize manual process updates.
  • Write technical documents and reports, and share research results and technical progress.

About the Company

Johnson Electric

Motors, actuators and motion systems manufacturer

Johnson Electric designs and manufactures motors, actuators, and motion subsystems for automotive and industrial customers, with plants and engineering centers in over 20 countries. Products span DC/EC motors, switches, solenoids, gearmotors, powder metal parts, and eDrives used in vehicles, appliances, and medical devices. What sets Johnson Electric apart is its family of specialized brands, including Saia-Burgess, Nanomotion, and Stackpole. The goal is to improve the quality of life of everyone it touches through innovative motion systems.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Sha Tin District, Hong Kong
Founded
1986

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