Data Science Intern, AI Machine Learning
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.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:
- Ability to communicate and work cross-functionality
- 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
Your experience includes:
- Currently pursuing Bachelor in data science, applied mathematics, or otherwise research-based field
- 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
- 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
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
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