Miracle Eye Pvt Ltd
Website:
visualgrab.com
Job details:
Job Title: Computer Vision Engineering Intern
Company: Visual Grab
Location: Selaqui, Dehradun
Duration: 3–6 Months
Employment Type: Internship (Potential Pre-Placement Offer based on performance)
About the Internship
Visual Grab is looking for enthusiastic and curious Computer Vision Interns who want hands-on exposure to real-world AI applications. You will work on practical projects in image understanding, object detection, video intelligence, segmentation, and industrial AI applications.
This internship is designed for students who want to learn by building real systems rather than only working on academic exercises.
Roles and Responsibilities
* Assist in developing AI and computer vision models.
* Work on:
* Object Detection
* Image Classification
* Segmentation
* Video Analytics
* Tracking and Recognition Systems
* Perform image and video data collection and annotation.
* Preprocess datasets and support model training activities.
* Test and evaluate model performance.
* Assist in model optimization and deployment activities.
* Document experiments and findings.
Required Skills
* Basic programming knowledge in Python
* Understanding of machine learning and deep learning fundamentals
* Basic knowledge of:
* OpenCV
* PyTorch or TensorFlow
* Familiarity with image processing concepts
* Strong problem-solving and analytical thinking
Preferred Skills
* Exposure to:
* YOLO
* CNN models
* Git/GitHub
* Linux
* Image annotation tools
Eligibility
* B.Tech / M.Tech / MCA students
* Students from:
* Computer Science
* Artificial Intelligence
* Electronics
* Data Science
* Related technical fields
* Final-year students and enthusiastic learners are encouraged to apply
What You Will Gain
✔ Hands-on experience on real-world AI projects
✔ Mentorship from experienced AI professionals
✔ Exposure to industrial use cases
✔ Opportunity to work on deployable systems
✔ Internship certificate and performance evaluation
✔ Potential full-time opportunity based on performance
How to Apply
Send:
* Resume
* LinkedIn profile
* GitHub profile (optional)
* Project portfolio (if available)
Click on Apply to know more.