GFIT Intern, GenAI Software Development

About our group :

Seagate's Global Factory Information Technology (GFIT) organization is a global team with resources around our high-tech manufacturing sites located in the United States, Asia, and Northern Ireland. We're a global organization servicing the IT needs of R&D, Engineering, Manufacturing and Equipment management for Seagate Global Factory. The Penang GFIT team is a key development hub that provides world class application development and solutions with cutting edge technology. Our team embraces Scaled Agile Framework (SAFe), a popular framework that improves project delivery, decreased time-to-market, and increased stakeholder value. Our team is one of the pioneers to adapt various tools and languages striving toward IT 4.0

About the role - you will :

• Work closely with highly skilled developer and motivated multi-site Agile team on the project assigned
• Work in a very collaborative global environment
• This role plays a key role in designing, building, and optimizing systems that leverage artificial intelligence to generate content-such as text, images, code, or other data-based on input prompts
• Involved in prepare and manage datasets, integrate GenAI features into application via APIs and tools, design effective prompts, test and evaluate output for quality and fine-tune the model
• Develop well designed, testable, efficient code by using industry standard software development practices
• Practicing SAFe Agile methodology. Collaboration among team members, Scrum Master and Product Owner

About you :

Your experience includes :

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

Skills Required

Javascript, Pytorch, Docker, reinforcement learning, Python, Kubernetes