Computer Vision Engineer

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Description

We are looking for a Computer Vision Engineer who can build production-grade vision systems — from data collection and model training through optimization and on-device deployment. You will work on problems spanning object detection, semantic segmentation, 3D reconstruction, and multi-modal AI systems. Requirements 2+ years of experience in computer vision and/or deep learning for object detection, tracking, and segmentation Design, train, and deploy CV models for image and video analysis pipelines Collaborate with product teams to translate business requirements into technical specifications Build and maintain data pipelines for large-scale vision datasets Optimize models for inference speed and memory efficiency across edge and cloud targets Stay current with advances in vision transformers, diffusion models, and multi-modal architectures Technical Skills Experience training models on GPU infrastructure (NVIDIA CUDA, cloud TPUs/GPUs) Proficiency in Python and the vision/ML ecosystem (PyTorch, OpenCV, scikit-image, Pillow) Strong foundation in data structures and algorithms in Python or C++ Hands-on experience with data imbalance, normalization, augmentation strategies Experience with model evaluation, validation, and A/B testing of vision pipelines Familiarity with vision-language models and generative image techniques is a plus Perks and Benefits 5 Days Working Flexible Timings Access to high-end GPU compute resources Apply for Computer Vision Engineer Role? ⚠️ We are no

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