About Our Group

We are a team of IT and Data professionals at Seagate, responsible for creating and implementing data-driven solutions to support business decisions and operations. Leveraging AI and ML, we enable real-time data analysis, predictive maintenance, anomaly detection, and process optimization. We collaborate with business and machine development teams to harness the full potential of Industry 4.0—real-time control, IoT, Big Data, Analytics, Automation, and Artificial Intelligence—to support the Smart Factory initiative and maximize operational excellence.

About The Role - You Will

Work closely with machine developers and factory teams to acquire and process data from machine sensors and production lines.
Develop, implement, and support software solutions for data collection, integration, and analysis in a manufacturing environment.
Apply AI/ML techniques for anomaly detection, predictive maintenance, and early detection of equipment or process issues.
Build, tune, and deploy machine learning models for real-time and batch analysis of sensor and production data.
Collaborate with cross-functional teams to design and implement experiments, validate hypotheses, and communicate findings.
Support and maintain existing software and analytics solutions, ensuring high quality and minimal disruption to operations.
Document technical designs and provide support for development and operations teams.

About You

We are looking for candidates who:

English proficiency both in writing and speaking
Have strong programming skills (Python, C# required; Java or other languages a plus).
New graduates are also welcome to apply.
Are passionate about applying AI/ML to solve real-world manufacturing problems.
Demonstrate experience with AI/ML frameworks and libraries (e.g., TensorFlow, Keras, scikit-learn, PyTorch).
Are familiar with data acquisition from industrial sensors, IoT devices, or factory automation systems.
Have hands-on experience with data preprocessing, model training, evaluation, and deployment.
Are comfortable with Unix/Linux environments and version control (Git).
Possess strong analytical, problem-solving, and communication skills.
Are self-motivated, independent, and effective in cross-functional teams.
Hold a bachelor's or master's degree in Computer Science, Computer Engineering, Software Engineering, or related fields.

Your Experience Includes

[Preferred] Experience with anomaly detection, predictive maintenance, or root cause analysis in manufacturing.
[Preferred] Experience with big data platforms and real-time data processing.

Location:

Korat, Thailand

Our Korat facility is our largest manufacturing site worldwide, with more than 10,000 employees. Here, our team produces cloud-based storage equipment, from individual storage components to finished drives. Employees enjoy ample on-site parking, free shuttle vans and buses within the city of Korat, as well as transportation to and from Bangkok and Khon Kaen province on weekends. At work, you can grab a delicious breakfast, lunch, dinner, or snacks at one of our 24/7 on-site canteens or coffee shops. We offer table tennis, basketball, volleyball, a running/walking trail, and exercise classes in our on-site fitness center. In addition, there are relaxing spaces with comfortable seating both indoors and outdoors, perfect for taking a break during the day.

Additionally, consider joining any of our employee resource groups (ERGs), such as Seagate Women in Leadership Network (SWLN), Seagate PRIDE: Thailand chapter, or Seagate Asia's parents and caregiver group. We also have many on-site recreation events and opportunities to give back to the local community.

Machine Learning Engineer - Smart Factory (Manufacturing), Korat