MSL (Material Science Lab) Intern Data Scientist (ML Model Development & Full-Stack Integration)
At a glance
Junior AI Research role at Seagate. Nakhon Ratchasima.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build a decision process that follows how engineers classify defects, particles and contamination
- Train image classifiers on labelled data, combining machine learning with the expert-led decision process
- Create a dashboard and connect its interface to backend services for live model tracking, deployment and validation
- Set up image-classification workflows and coordinate with IT on server capacity and processing speed
- Document the work, train end users and update your supervisor on progress and results
What you bring
- A degree or master’s in data science, statistics, computing, software or electrical engineering, or another listed field
- Programming ability in Python, JavaScript and SQL, plus experience developing and deploying machine-learning models
- Knowledge of image classification and its core methods, along with experience preparing data, training models and assessing results
- Fluent spoken and written English for technical discussions and presentations
Who this fits
This internship suits someone who can connect machine-learning development with full-stack implementation and work across lab, engineering and data teams. The role is based in Korat, Thailand, with no travel.
From the employer
About our group:
Material Science Laboratory provides service support analytical technique and scientific analysis for material, process, products on cleanliness, contamination, and failure analysis under Operation Quality and Analytic (OQ&A)
About the role - you will:
- Create human decision algorithm based on the expert engineer step-by-step decision making during the conclusion of defect, particle and contamination classification.
- Use machine learning methods and AI (Artificial Intelligent) to complement the human decision algorithm
- Design and train image classification models using labelled datasets
- Design and implement a full-stack dashboard for model deployment, monitoring, and validation
- Integrate backend services with frontend UI for real-time model performance tracking
- Collaborate with data scientists, engineers, and lab teams to align system requirements
- Ensure modular, scalable, and maintainable code for long-term sustainability
- Work with IT to set up the server system to achieve the desired processing power & speed
- Create and implement workflow for the automated image classification tool or systems
- Document the development process and provide training materials for end users
- Communicate status of projects and progress to supervisor
- Summarize accomplishment, issue and relevant assignment as supervisor required
About you:
- Excellent teamwork, leadership and coachability
- Fast learning, able to prioritize multiple tasks and work effectively in a dynamic environment.
- Proficiency in computer programming languages, Python, JavaScript, and C++.
- Fundamental of machine learning, especially image classification (CNNs, Transfer learning)
- Experience Python and ML Libraries (e.g. TensorFlow, PyTorch, Scikit-learn)
- Understanding of full-stack development (e.g. Node.js, Flask/Django, React).
- Familiar with RESR APIs, Docker, Git, Linux, computer network, cloud, database, and virtual machine
- Basic knowledge of MLOps and model lifecycle management
- Experience in the data preparation process, image processing, image classification, data center management, machine leaning and AI projects
- Strong coding skill in Python, JavaScript, and SQL
- Ability to pre-process data, train, evaluate, and optimize ML Models
- Ability to design intuitive dashboards for technical and non-technical users
- Degree/master's in data science, statistics, computer, software, or electrical-related field
- Capable of communicating in a complex technical knowledge with cross-functional team
- Effective communication and presentation skills
- Ability to effectively plan, control and take responsibility for group's results
- Able to prioritize multiple tasks, manage conflicting deadlines, and work effectively in a dynamic environment
- Fluent in both spoken and written English communication
Your experience includes:
- Project experience in ML Model development and deployment
- Exposure to cloud platforms (E.g., AWS, GCP, Azure)
- Experience with CI/CD pipelines and containerization tools
- Experience connecting frontend and backend components
- Good knowledge of IOT
- Having a good understanding of KNIME, Image Processing, MATLAB, Vision system, Data networking and coding
Location:
Korat, Thailand Our Korat facility is our largest manufacturing site worldwide, 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