AI / Machine Learning / Deep Learning Project Internship
Who we are :
Seagate is an innovative company that delivers advanced digital storage solutions to meet the needs of today’s consumers and tomorrow’s applications.
Through technology, leadership and innovation, Seagate continues to help individuals and businesses maximize the potential of their digital content in an ever-evolving, on-demand world.
Company Culture :
Our culture is focused on our Corporate Values People, Customer Success, Excellence, Innovation, Teamwork, Openness, Social Responsibility, and Sustained Profitability.
Join a worldwide team of talented, collaborative, innovative people who thrive in a work environment where people can share knowledge and learn from one another.
You won’t find a more exciting place to build your career and challenge yourself. Accept the challenge and Go where innovation leads
About the Group
Global Manufacturing Execution System Group at Seagate Singapore International Headquarters Pte Ltd : We research, design and develop systems and applications to track, control and manage the product and manufacturing processes on the factory floor.
The application of technology is making the process of manufacturing ever-increasingly intelligent and dynamic allowing the concept of a Smart Factory to become a reality.
About the Role
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-world problems to improve our product quality, reduce material waste, improve production yield and so on.
Anomaly Detection / Failure Prediction : To detect problems in the production before they escalate and become catastrophic.
The aim is to detect problems and gives insight into the root cause of the issue at hand. This way the problem can be resolved faster allowing for shorter downtime.
Predictive Smart Maintenance : To monitor the performance and condition of equipment during normal operation to prevent unexpected equipment failures and to estimate when maintenance should be performed.
Degree / Master's Degree in Computer Science, Engineering or related fieldKnowledge of Artificial Intelligence / Machine learning / Deep learning algorithm.
Development experience in data science and ML languages, eg. Python, R.Experience with Tensorflow or Keras a strong plus.
Creative and innovative in providing solutionsJob Family : Operations Support
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