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)
Solid 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 Perks
5 Days Working
Adaptable Timings
Access to high-end GPU compute resources
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