Computer Vision Engineer

Salary range - ₹8-12 Lacs p.a + healthcare + ESOPs

Remote India based role

About ClearQuote

ClearQuote is a technology-driven startup that builds AI-powered vehicle inspection solutions for rental and commercial fleets. The product uses computer vision on images/videos to automatically detect vehicle damage, generate condition reports and repair estimates, and track damage history over time

Role: Computer-Vision / AI Engineer

What you will do

• Train and deploy models for object detection, image segmentation, classification, and tracking.
• Prepare dataset annotations workflow including preprocessing, augmentation, annotation support, and quality checks. 
• Work with existing machine learning pipelines: testing, benchmarking, debugging, and iterative improvements.
• Run experiments on models (YOLO, Mask R-CNN, segmentation networks, Detectron2, ViT models, etc.) and document findings.
• Optimize and integrate models for real-time inference — including video analysis, frame-by-frame panel/damage detection.
• Stay updated with state-of-the-art computer-vision methods (object detection, segmentation, tracking, video processing, visual-language models, OCR, etc.), evaluate/bench new techniques, and drive innovation.
• Ensure high code quality, enforce standards: clean, maintainable, documented code, tests, and reproducibility.

Must Have Qualifications

• B.E. / B.Tech / M.Tech or comparable degree in Computer Science, Electrical Engineering, AI/ML, Robotics, or related field.
• Ideally 1+ year proven experience in AI/ML with emphasis on Python and Computer Vision 
• Open to exceptional freshers with hands-on real world experience through internships
• Strong programming skills in Python and deep-learning frameworks such as PyTorch and TensorFlow.
• Experience in classical image processing (OpenCV, NumPy) plus deep learning-based CV (CNNs, segmentation, detection, tracking).
• Hands-on experience with object detection frameworks (e.g. YOLO), segmentation networks (e.g. UNet, Mask R-CNN), tracking pipelines (e.g. Deep SORT) — or equivalent.
• Good problem-solving skills, curiosity, and willingness to learn and iterate with ability to write clean, readable, and modular code.
• Familiarity with cloud infrastructure and services (AWS, GCP, Azure) for training, and monitoring.
• Familiarity with containerization, Docker, Git; comfort working in Linux/GPU environments; experience in deploying models to cloud or edge.
• Good communication skills to collaborate across teams (backend, product, operations) and mentor other engineers.
  

Why join ClearQuote

• Work on real-world computer-vision challenges with tangible impact: helping fleet operators worldwide automate and improve damage inspection workflows. Large scale image processing (>30 million images each month and growing)
• Be part of a small, fast-moving, and engineering-driven team 
• Flexible and dynamic startup environment, accelerated learning and growth