Data Science / AI Adoption Intern

LaCie Seagate

Nakhon Ratchasima, Thailand

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Job Description

About our group:

Since 1979, Seagate has been creating precision-engineered data storage technologies that deliver superior capacity, speed, safety, and performance. We are a diverse workforce of 40,000 creative, hard-working, passionate people all over the world-Silicon Valley, the Southeast Asia, India, China, the United Kingdom, and beyond. At Seagate, we know that data is always in motion, alive, connected-and we harness it in order to maximize human potential.

About the role - you will:

Developed and validated endtoend quality anomaly detection methods using statistical, clustering, MLbased, and timeseries techniques (zscore, IQR, outlier detection).
Enable automated, consistent, and scalable visual inspection using AI to detect defects, anomalies, or patterns that humans miss or cannot do fast enough.
Assist in benchmarking anomaly detection approaches against current engineering rules (e.g., red/yellow dot sweeps, column swipes).
Partner with quality engineers to drive process efficiency improvements.
Driving AI adoption to automate routine tasks and improve operational efficiency.

About you:

You are a self-motivated and independent learner with a strong communication and UX storytelling mindset. You enjoy working in teams and translating complex data into actionable insights.

Your experience includes:

Strong background in statistics and machine learning (regression, clustering, classification, anomaly/outlier detection).
Experience integrating OpenAI APIs (text and vision models) into internal tools, analytics pipelines, or inspection workflows.
Proficiency in Python (pandas, scikit-learn, PyOD, stats models) or KNIME workflows.
Experience designing and developing interactive dashboards using Power BI and Tableau.
Good problem-solving and analytical mindset ability to handle large datasets efficiently.
Currently pursuing a Bachelor's or master's degree in IT, Computer Science, or other Engineering majors

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 caregivers group. We also have many on-site recreation events and opportunities to give back to the local community.

Location: Korat Thailand
Travel: None

More Info

Job Type:

Permanent Job

Industry:

IT /Computers - Software

Function:

Data Storage Technology

Employment Type:

Full time

About Company

LaCie SeagateJob Source: seagatecareers.com

"LaCie, the premium brand of Seagate technology, designs world-class storage solutions for photographers, videographers, audio professionals, and other power users. With leading technology, performance, quality, and customer support, LaCie helps you realize your creative vision. We differentiate ourselves with a focus on design, unmatched technical performance, and long-term reliability.
To better understand and serve the needs of our customers, we maintain in-house innovation centers, product-line manufacturing, and technical support. Over the past decade, we have consistently been best-in-class and first-to-market in deploying the latest innovations, from Firewire to USB to Thunderbolt&#8482; technology."

Job ID: 146191483

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