Job Description

At Seagate, we know that data is always in motion, alive, connected\xe2\x80\x94and we harness it in order to maximize human potential. Since 1979, we have been creating precision-engineered data storage technologies that deliver superior capacity, speed, safety, and performance. We are a diverse workforce of 30,000+ creative, hard-working, passionate people all over the world\xe2\x80\x94Silicon Valley, the United Kingdom, Singapore, India, China, and beyond.



About Our Group

We are a team of IT (Information Technologies) professionals from Seagate. We are responsible for creating and implementing data-driven solutions to support business decisions and operations. The use of AI and ML allows for real-time data analysis and decision making, predictive maintenance, and the optimization of production processes. We collaborate with the business teams to harness the full potential of Industry 4.0 - Real-time control, IoT, Big Data and Analytics, Automation and Artificial Intelligence to support \xe2\x80\x9cSmart Factory\xe2\x80\x9d initiative, to make better decision and maximize operational excellence.

About the Role:

You will work with our Data Scientist and Data Engineers to research and develop smart factory platform, powered by machine learning, that can provide the following capabilities:

• Detection of fault and performance degradation
• Prediction of process/equipment KPOVs

You will have the chance to drive meaningful impact at Seagate by designing, building, tuning, and deploying machine learning models that help reduce capital spending and operational cost.

About You

We are looking for candidates who are highly passionate about data science and want to apply AI/machine learning/deep learning techniques to solve real-word problems.

• Self-motivated, independent and a team player with strong analytical skills
• Good at Python programming
• Familiarity with AI Machine learning techniques, frameworks, and libraries.
• Bachelor or master\'s students in Computer science, computer engineering

Location:

The Shugart site (named after Seagate\xe2\x80\x99s founder, Al Shugart) is a research and design center. Easily accessible from the One-North MRT Station, many employees choose to take mass-transportation to work. Being a purpose built building, The Shugart has excellent employee recreational facilities. Take an active break at our badminton courts, table tennis tables, in-house gym and recreation rooms. We also offer classes and interest groups in photography, gardening and foreign languages, and have various on-site celebrations, and community volunteer opportunities.

Location: Shugart, Singapore

Travel: None

Application Instructions

Please apply for this position by submitting your text CV using InternSG.
Kindly note that only shortlisted candidates will be notified.

InternSG