
Computer Vision Engineer
2 days ago
🚀 We’re Hiring: Computer Vision Engineer (3–5 Years Experience)
📍 Location: Gurugram | 🏢 Full-time | 👨‍💻 Department: Engineering / AI / R&D
Are you passionate about building intelligent vision systems that solve real-world challenges? Intozi is looking for a Computer Vision Engineer to join our AI team and help design, develop, and deploy advanced computer vision and image processing solutions.
🔹 About the RoleAs a Computer Vision Engineer, you’ll work on cutting-edge applications involving object detection, segmentation, tracking, and deep learning-based solutions. You’ll collaborate with cross-functional teams to create scalable, production-ready models optimized for both cloud and edge devices.
🔹 Key Responsibilities- Develop and implement computer vision algorithms (detection, segmentation, tracking, pose estimation).
- Build & train deep learning models (TensorFlow, PyTorch, OpenCV).
- Optimize models for performance, latency & accuracy in production.
- Analyze image/video datasets to enhance algorithm efficiency.
- Stay updated with the latest AI/vision research.
- Contribute to high-quality, maintainable code & documentation.
- Bachelor’s/Master’s in CS, EE, Robotics, or related fields.
- 3–5 years of hands-on experience in computer vision/ML/DL.
- Strong Python skills (OpenCV, NumPy, scikit-learn).
- Expertise in TensorFlow/Keras/PyTorch.
- Experience with deployment (ONNX, TensorRT, OpenVINO).
- Solid understanding of CNNs, image processing & classical vision.
- Experience with real-time vision systems / video analytics.
- Knowledge of edge devices (NVIDIA Jetson, Raspberry Pi).
- Familiarity with 3D vision, SLAM, or multi-view geometry.
- Contributions to open-source CV/ML projects.
- Experience with MLOps, Docker, Kubernetes.
âś… Competitive compensation & benefits
âś… Flexible work environment
âś… Growth & learning opportunities
âś… A chance to work on cutting-edge AI technology
âś… Collaborative & inclusive team culture
📩 If you’re excited about shaping the future of AI-powered vision systems, we’d love to hear from you
Apply now or reach out to us directly.
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