We're seeking a Computer Vision Engineer to develop state-of-the-art visual recognition systems that power our AI products. You'll work on challenging problems in image processing, object detection, and visual understanding, deploying models that need to perform reliably in real-world conditions. This role offers the opportunity to work with the latest computer vision architectures and contribute to products used by thousands of users.

What you will do

• Design and implement computer vision models for image classification, object detection, and segmentation
• Develop real-time image processing pipelines for production applications
• Optimize CV models for speed and accuracy across different hardware platforms
• Build data annotation pipelines and manage training datasets
• Implement and fine-tune state-of-the-art architectures (YOLO, R-CNN, Vision Transformers)
• Deploy computer vision models to edge devices and cloud infrastructure
• Conduct experiments to improve model accuracy and reduce inference latency
• Collaborate with product teams to define CV requirements and success metrics
• Monitor model performance and implement continuous improvement strategies

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• 2-4 years of experience in computer vision and deep learning
• Strong proficiency in Python and CV libraries (OpenCV, PIL, albumentations)
• Hands-on experience with deep learning frameworks (PyTorch, TensorFlow)
• Understanding of CNN architectures and modern CV techniques
• Experience with image preprocessing, augmentation, and dataset management
• Knowledge of object detection and semantic segmentation approaches
• Proficiency with GPU programming and model optimization

Preferred Qualifications

• Experience with video processing and temporal modeling
• Knowledge of 3D computer vision and depth estimation
• Familiarity with model deployment frameworks (ONNX, TensorRT, OpenVINO)
• Experience with edge deployment (mobile, embedded devices)
• Understanding of generative models for image synthesis (GANs, Diffusion models)
• Published research in computer vision conferences (CVPR, ICCV, ECCV)
• Experience with multi-modal learning (vision + language)
• Contributions to computer vision open-source projects

What You'll Work On

• Building visual search and recommendation systems
• Developing real-time object detection for monitoring applications
• Creating image quality assessment and enhancement tools
• Implementing OCR and document understanding systems
• Designing face recognition and biometric authentication systems

Perks & Benefits

• Competitive salary package (₹12-22 LPA based on experience)
• Remote-first work culture with flexible hours
• Health insurance for you and dependents
• Professional development and conference attendance support
• Access to high-performance GPU workstations and cloud resources
• Stock options and performance-based incentives
• Opportunity to publish research and present at conferences
• Regular knowledge-sharing sessions and workshops
• Generous PTO and wellness benefits
• Latest hardware and tools for development

We're committed to creating an inclusive and diverse workplace where everyone can thrive. Quml is proud to provide equal opportunity to all qualified applicants regardless of race, color, ancestry, religion, gender, age, or any other protected characteristic.