MSL (Material Science Lab) Intern Data Scientist (ML Model Development & Full-Stack Integration)

About the Company

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).

Responsibilities

• Create human decision algorithm based on expert engineer step-by-step decision making during the conclusion of defect, particle and contamination classification.
• Use machine learning methods and AI to complement the human decision algorithm.
• Design and train image classification models using labelled datasets (CNNs, transfer learning).
• 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 and work with IT to set up servers for required processing power and 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 project status, summarize accomplishments and issues to supervisor.

Qualifications

• Degree/master's in data science, statistics, computer, software, or electrical-related field.
• Proficiency in programming languages: Python, JavaScript, and C++.
• Fundamentals of machine learning, especially image classification (CNNs, transfer learning); experience with ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Understanding of full-stack development (Node.js, Flask/Django, React) and REST APIs.
• Familiar with Docker, Git, Linux, computer networking, cloud, databases, and virtual machines.
• Basic knowledge of MLOps and model lifecycle management; experience with CI/CD pipelines and containerization tools.
• Strong coding skills 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; effective communication and presentation skills; fluent in both spoken and written English.
• Fast learner, able to prioritize multiple tasks, work effectively in a dynamic environment, with teamwork, leadership and coachability.

Additional Information

• Project experience in ML model development and deployment; exposure to cloud platforms (AWS, GCP, Azure).
• Experience connecting frontend and backend components; good knowledge of IoT, KNIME, image processing, MATLAB, vision systems, and data networking.
• Location: Korat, Thailand. Onsite. Travel: None.

Benefits

• On-site parking and free shuttle vans/buses within the city of Korat and to/from Bangkok; weekend shuttle to/from Khon Kaen University.
• 24-7 on-site canteens and coffee shop; fitness center, sports teams (ping-pong, basketball, volleyball), running/walking trail, and on-site events and community activities.