Synapxe logo

Uni Internship Jan to July 2027 - Model Development of Image Recognition

Synapxe

SingaporeInternshipOn-site

Posted 6 Jul 2026

About this role

Develop computer vision and image recognition models to identify characteristics like color and texture for healthcare applications, specifically tongue image recognition. Support data generation, augmentation, and the deployment of AI solutions while communicating findings to stakeholders. Undergraduate students in Year 2 or 3 pursuing a degree in Computer Science, Data Science, or a related field. Requires strong Python proficiency and an understanding of deep learning and image processing concepts.

What they're looking for

PythonComputer VisionImage RecognitionDeep LearningImage ProcessingGitGitHubFastAPI

Frequently asked questions

What does a Uni Internship Jan to July 2027 - Model Development of Image Recognition at Synapxe do?

Develop computer vision and image recognition models to identify characteristics like color and texture for healthcare applications, specifically tongue image recognition. Support data generation, augmentation, and the deployment of AI solutions while communicating findings to stakeholders. Undergra…

What skills does this Uni Internship Jan to July 2027 - Model Development of Image Recognition role need?

Key skills for this role include Python, Computer Vision, Image Recognition, Deep Learning, Image Processing, Git.

How much does a Uni Internship Jan to July 2027 - Model Development of Image Recognition at Synapxe pay?

The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.

Is this Uni Internship Jan to July 2027 - Model Development of Image Recognition role remote, hybrid, or on-site?

This role is on-site, based in Singapore.

How do I apply for this Uni Internship Jan to July 2027 - Model Development of Image Recognition role?

You can apply directly on Synapxe's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.