Computer Vision Engineer - Fresher (WFH)
๐ข ClearQuote ยท all ClearQuote jobs
๐ India
๐
Posted 2026-07-21 ยท via Internshala
๐ท remote
Apply on original site โAbout the job:
Role: Computer-Vision/AI Engineer (intern/fresher)
This role is ideal for final-year students, recent graduates, or freshers who want hands-on experience building and improving real-world AI systems.
You will work closely with senior engineers on model training, dataset preparation, experimentation, and deployment.
Key Responsibilities:
1. Train and evaluate models for object detection, segmentation, classification, and tracking.
2. Support dataset preparation, including preprocessing, augmentation, annotation support, and quality checks.
3. Work with existing machine learning pipelines: testing, benchmarking, debugging, and iterative improvements.
4. Run experiments on models such as YOLO, Mask R-CNN, and other segmentation networks and document findings.
5. Optimize and integrate models for real-time inference including video analysis, frame-by-frame panel/damage detection.
6. Write clean, readable, and well-documented Python code and stay updated with recent developments in computer vision and deep learning.
Who can apply:
Only those candidates can apply who:
- are Computer Science Engineering students
Salary:
โน 6,36,000 - 12,60,000 /year
Experience:
No experience required
Deadline:
2026-08-20 23:59:59
Other perks:
5 days a week, Health Insurance, Life Insurance
Skills required:
OpenCV, Python, Machine Learning, Computer Vision, Deep Learning and CNN (Convolutional Neural Network)
Other Requirements:
- 1. B.E./B.Tech/M.Tech (final year or recent graduate) in computer science, AI/ML, electrical engineering, robotics, or related field.
- 2 Strong fundamentals in Python programming and basic data structures.
- 3 Understanding of machine learning concepts and linear algebra basics.
- 4 Strong programming skills in Python and deep-learning frameworks such as PyTorch and TensorFlow.
- 5 Experience in classical image processing (OpenCV, NumPy) plus deep learning-based CV (CNNs, segmentation, detection).
- 6 Comfort working in Linux environments and a basic understanding of Git.
- 7 Good communication skills to collaborate across teams (backend, product, and operations) and mentor other engineers.
About Company:
Our mission is to make vehicle inspections simple, efficient, and accurate using technology. ClearQuote app uses computer vision to automatically assess damages on vehicles based on images and generate a repair estimate and condition report. Customers across India, Australia, the Middle East, the UK, and Europe. We intend to grow our business with a specific focus on commercial fleets in the UK and Europe in the coming year (2026).