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
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