Computer Vision Engineer

Pay scale ₹30-45 LPA

About us

ClearQuote is a computer vision startup that builds AI-powered vehicle inspection solutions. 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. Customers in India, UK, EU, US, powering 3mn vehicle inspections every month.

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.
  

Requirements

• B.E. / B.Tech / M.Tech or comparable degree in Computer Science, Electrical Engineering, AI/ML, Robotics, or related field.
• Ideally 4+ years proven experience in AI/ML with emphasis on Python and Computer Vision 
• 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.
• Hands on proficiency with cloud infrastructure and services (AWS, GCP, Azure) for training, and monitoring.
• Proficient in 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 automotive dealers and fleet operators worldwide automate and improve damage inspection workflows.
• Be part of a small, fast-moving, and engineering-driven team 
• Flexible and dynamic startup environment, accelerated learning and growth