AI Machine Learning Intern, Smart Factory

Bayan Baru, MY

Seagate Technology

Seagate sorgt dafür, dass weltweit mehr Daten gespeichert und effektiv genutzt werden können – mit revolutionären Cloud-Speicher-Services, Systemen, Festplatten, Solid-State Drives und End-to-End-Datenmanagementlösungen.

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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 “Smart Factory” initiative, to make better decision and maximize operational excellence.  

About the role - you will:

  • Develop machine learning algorithms to automate factory processes
  • Undertaking data collection, preprocessing of structured and unstructured data and analysis
  • Analyze large amounts of information to discover trends and patterns
  • Build predictive models and machine-learning algorithms
  • Presenting information using data visualization techniques

About you:

  • Familiar and well versed in Computer Science, Information Systems, Software Development, or a related discipline
  • Flexible and adaptive in learning new technologies and languages
  • Passionate about big data, statistics, data management, data processing, data testing, data governance or analysis
  • Ability to communicate and work cross-functionality

Your experience includes:

  • Knowledge in machine learning algorithms such as multi-class classifications, decision trees and deep learning, GenAI
  • Experience in image processing, OpenCV, TensorFlow would be advantageous
  • SQL, Web technologies, Java, .NET, Hadoop, Python or R/Shiny
  • Background in data science, applied mathematics, or otherwise research-based field
  • Experience with microservices architecture, Docker, and Kubernetes is desirable

Location:

Our Penang office is located in Suntech at Cybercity. Easily accessible from two bus stops, many employees take mass-transportation to work. Ample free on-site parking is also available. Enjoy our on-site gym, test your ping-pong skills, or take on your colleagues in a badminton match after work. You can grab breakfast, lunch and coffee at our on-site cafe. Prefer to eat off-site? The public food court across the street offers many delicious options. 

 

Location: Penang Malaysia Suntech
Travel: None

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Tags: Architecture Big Data Computer Science Data analysis Data governance Data management Data visualization Deep Learning Docker Generative AI Hadoop Java Kubernetes Machine Learning Mathematics Microservices OpenCV Predictive Maintenance Python R Research SQL Statistics TensorFlow Testing Unstructured data

Perks/benefits: Fitness / gym Flex vacation

Region: Asia/Pacific
Country: Malaysia

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