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.
Helpful 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