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Media Equipment Engineering - Backend Intern

Location: 

Singapore, SG

Job ID:  7390

About our group:

  • We are a team of professional Staff Engineers, Senior Engineers and Engineers working on developing various customized media processing Equipment used in high volume media manufacturing.
  • The team works on equipment enhancements to meet new processes needs, continuous improvements to improve product quality, yield and develop new technologies including i4.0.

      

About the role - you will:

  • Work on projects related to Data Science / Data Analytics
  • Work on enhancing media process tools leveraging i4.0 technologies
  • Data logging / extraction / setup / analytics
  • Extensive work using python / ML platforms  / database via MySQL query.
  • Use python numpy & pandas library to do data reading, aggregation, manipulation.
  • Use python Matplot to plot the data set.
  • Smart sensors installation and configuration

About you:

  • Keen Interest in Data science. “Get insight from data”
  • Able to understand basic terminology of sensors.
  • Python programing with Numpy, Pandas, Matplot, pyHive & Scipy library. Or R studio.
  • Computer hardware skills

Your experience includes:

  • Hands on experience developing projects and use of Python programming
  • Knowledge on computer hardware

Location:

Location: Woodlands, Singapore, W2
Travel: None


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About Us

With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever-expanding data landscape. 

We craft precision-engineered, cutting-edge solutions that help the world store and manage exponential data growth.

Seagate is powered by our talented, passionate, and diverse workforce of 40,000 employees across the globe who embody our core values: integrity, innovation, and inclusion. Striving towards excellence every single day, we show up with these values for our customers, business partners, shareholders, and communities alike.

Join us and get inspired to make a difference in the datasphere!

 

 

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