Help robots understand what their cameras can see.

What you’ll work on

Explore object detection, depth-camera processing and visual inspection; evaluate models on representative test data.

Practical starting skills

Python, OpenCV and machine-learning fundamentals; familiarity with PyTorch or TensorFlow is a plus.

SHOW US WHAT YOU’RE BUILDING

Start with
your curiosity.

Share a project, a prototype or a problem you enjoyed solving. Coursework and personal projects can help explain your interests and experience.

[email protected]

How to apply

- Choose your role.

Use “Apply by email” inside a role above to open an application draft.

- Tell us about yourself.

Attach your CV and include relevant project links, your background, location, availability and preferred duration.

- Review and send.

Send the draft from your email app. If it does not open, email [email protected] with the role name in the subject.

Before you apply

All listed internships are unpaid; no salary or stipend is offered. Duration, weekly commitment, location or remote arrangements, and project scope will be discussed before you accept an internship.

📌 Computer Vision Engineer (Ajmer)
🏢 XCugas
📍 Ajmer