AI Machine Learning Intern

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
• Design, develop, and implement AI agents to automate complex tasks and enhance factory intelligence
• 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
• Experience with Generative AI frameworks and tools (such as Llama, LLMs, RAG)
• SQL, Web technologies, Java, .NET, Hadoop, Python or R/Shiny
• Experience developing, fine-tuning, and deploying large language models and GenAI solutions using open-source tools and prompt engineering techniques
• 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 via public transportation and offering ample free on-site parking. Enjoy amenities such as an on-site gym, ping-pong and badminton facilities, and a cafe serving breakfast, lunch, and coffee. Prefer dining out A public food court across the street offers a variety of delicious options.

Location: Penang Malaysia Suntech

Travel: None