About our group:
The Equipment Development Engineering group (EDE) of Seagate Technology is expanding the team!  We welcome aspiring Automation Alchemist Enthusiasts to check out this awesome opportunity!
 
Our vision is to innovate and develop advanced intelligent automated manufacturing equipment solutions that can sense, analyze, and make smart decisions by themselves. 
The EDE is a fully integrated equipment development team; we design and develop precision and fully automated assembly equipment and vision inspection machines. The team is made up of a strongly cohesive high performing team of design talents with a diversity of talents specialized in mechanical, embedded systems, electrical, software, and vision disciplines.
We strive to constantly incorporate IIOT, AI, machine learning image, and data analytics solutions into all our development enabling our equipment to realize factory smart intelligence thus creating a high-tech future-ready plant.  
 
We seek dedicated, motivated, and creative talented teammates, who take up the new automation directives to provide turnkey solutions, integrating functionality, automation & intelligence for Drive Assembly, Drive Test, Heads, Media Manufacture Automation & Enterprise Data Solutions.  
Many of our designs have won a variety of innovation awards, and patents on both Company and International levels. We welcome any interested candidates that possess this mindset to embark on this exciting journey in challenging the future roadmaps. About the role - you will:

To assist in designing and developing machine learning dashboard, tailored for equipment development as in image AI analytics and Large Language Model Chatbot.
Perform fine tuning and optimization for performance scalability, and reliability within equipment development domain. 
About you:

Self-motivated and process strong learning towards new technology and skillsets 
A positive mindset with a can-do attitude to challenge the impossible
Good organizational and time management skills 
Your experience includes:

Preferable with Electrical and Electronics Engineering, Computer Science / Engineering, Data Science, or other similar / equivalent engineering background 
Familiar with Microsoft Office (Word/PowerPoint/Excel)  
Knowledge in Python, Web design, Pytorch library or other machine learning framework. 
Self-motivated, independent and a team player with strong analytical skills 
Experience on data science and AI technology thru past projects shall be favorable. 
Interest in transforming data science prototypes into production-ready solutions. 
Bachelor student and/or equivalent experience        
Location:
Our Woodlands site is one of the largest electronics manufacturing sites in Singapore, housing our recording media operations. Spread over three sites, it is easily accessible via bus or from the MRT Station, with many employees taking mass transportation to work. Here at work, you can enjoy breakfast, lunch, dinner, and snacks at our onsite canteen and coffee shop. We offer a range of facilities including an in-house gym and dance studio, as well as after-work badminton and table tennis competitions. On-site celebrations and community volunteer opportunities also abound.
 
Location: Woodlands, Singapore, W3
Travel: None