Senior Computer Vision Engineer

• Design, implement, and optimize computer vision algorithms using classical techniques and deep learning.

• Work with datasets of images, videos, or 3D data (LiDAR, depth sensors) to train and evaluate models.

• Build real-time vision pipelines for tasks like detection, tracking, recognition, and segmentation.

• Research and apply SOTA models (CNNs, Transformers, GANs, etc.) for custom CV use cases.

• Collaborate with data scientists, ML engineers, and product teams to integrate CV systems into products.

• Deploy models to edge devices, cloud environments, or embedded systems depending on application.

• Ensure performance, accuracy, and efficiency of vision systems in production environments.

• Mentor junior engineers and guide the technical direction of CV projects.

• Master’s or PhD in Computer Vision, Machine Learning, Computer Science, or a related field.

• 4+ years of experience in computer vision and deep learning model development.

• Strong expertise in OpenCV, PyTorch, TensorFlow, and popular CV libraries.

• Experience with image processing, feature extraction, and neural network architectures (CNNs, R-CNN, YOLO, Mask R-CNN, ViT, etc.).

• Hands-on experience with datasets like COCO, ImageNet, KITTI, or custom datasets.

• Strong coding skills in Python and C++ (optional but valuable).

• Knowledge of real-time processing, model compression, and deployment to mobile/edge (e.g., TensorRT, ONNX, TFLite).

• Experience with 3D vision, SLAM, LiDAR, or AR/VR applications.

• Familiarity with robotics, autonomous systems, or drone vision.

• Experience publishing papers or contributing to open-source CV projects.

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