Sr Data Scientist

About our group:

The Equipment Development Engineering (EDE) group at Seagate Technology is expanding, and we’re excited to invite passionate individuals to join our innovative team. If you consider yourself an aspiring Automation Alchemist Enthusiast, this is a unique opportunity to be part of a forward-thinking environment where creativity and technology converge.

We’re looking for candidates who are eager to challenge future roadmaps and embrace the journey of automation excellence. Ideal teammates are dedicated, motivated, and imaginative—ready to take on new automation directives and deliver turnkey solutions that integrate functionality, automation, and intelligence. Our scope spans across Drive Assembly, Drive Testing, Heads and Media Manufacturing Automation, and Enterprise Data Solutions.

EDE is a fully integrated equipment development team that designs and builds precision automated assembly equipment and vision inspection machines. Our high-performing team is made up of diverse design talents specializing in mechanical, embedded systems, electrical, software, and vision disciplines. Together, we create solutions that push the boundaries of engineering.

We continuously incorporate IIOT, AI, machine learning, image processing, and data analytics into our development efforts. This enables our equipment to achieve smart factory intelligence, paving the way for a high-tech, future-ready manufacturing environment.

Many of our design have earned innovation awards and patents at both company and international levels. If you're ready to make a meaningful impact and help shape the future of intelligent automation, we’d love to hear from you.

About the role - you will:

• To support in designing and developing machine learning models and algorithms tailored for equipment development as in image & video-AI analytics.
• Perform fine tuning and optimization for performance scalability, and reliability within the equipment development domain.
• Design and develop machine vision and/or deep learning software to enhance efficiency, accuracy, and productivity for precision, high-throughput automated equipment
• Collaborate with cross-functional teams to gather requirements, design system architectures, and implement software solutions.
• Implement best practices for software development, including code reviews, testing, and documentation.
• Stay updated on industry trends and emerging technologies to drive innovation and continuous improvement in automation software solutions.
• Perform continuous improvement and enhancement to the existing equipment software toward Smart Autonomous Manufacturing.

About you:

• Self-motivated, team player with strong analytical skills and eager to learn more.
• Positive mindset with a can-do attitude to challenge the impossible.
• Good team player with the ability to work independently.
• Good organizational and time management skills.
• Able to work remotely in an effective manner.

Your experience includes:

• Preferable with Computer Vision and Artificial Intelligence, Electrical and Electronics Engineering, Computer Engineering, or other similar /equivalent engineering background
• Knowledge in Python, C# programming, or other machine learning frameworks.
• Processes visualization skillset in Tableau, or Power BI.
• Proficiency in computing to process and analyze large datasets efficiently.
• Experience in data science and AI technology through past projects shall be favorable.
• Interest in transforming data science prototypes into production-ready solutions.
• Fresh graduates with strong interest and academic results in the field of automation control, software programming, vision-based AI &/or experience in MvTec Halcon toolkits are welcome.
• Knowledge and/or experience in EtherCAT fieldbus, SolidWorks 3D, machine vision technology, or Control Automation will be an added advantage.

• Processes interest in transforming data science prototypes into production-ready solutions with knowledge of Python, Web design, Pytorch, TorchSharp library, and/or other machine learning frameworks.

Location:

Location: Woodlands, Singapore, W3
Travel: None