Aicadium is searching for a CV Scientist who is passionate about AI & Machine Learning in the computer vision space, to join our team and help lead Aicadium into new growth areas.
We seek high-energy team members with a positive attitude and a continual drive to learn and grow both professionally and personally.
Responsibilities
Leverage hands-on experience in modeling to use, improve, fine-tune, and customise computer vision (CV) models, spanning both deep learning approaches (e.g. object detection, tracking, segmentation, visual embeddings) and classical techniques (e.g. multi-view geometry, camera calibration, feature extraction and matching).
Design and implement geometric vision solutions where deep learning alone is insufficient — including 3D reconstruction, pose estimation, stereo vision, and structure-from-motion.
Assess the effectiveness and accuracy of new data sources and data-gathering techniques. Apply expertise in working with images, video, 3D data, and sensor fusion for custom ML solutions.
Stay up-to-date with the latest advancements and SOTA in computer vision.
Enable new capabilities for Aicadium products and tools in the industrial computer vision (ICV) ML domain.
Collaborate with cross-functional teams to develop innovative solutions.
Address unsolved problems in ICV.
Required skills and experience
Strong foundation in classical computer vision, including multi-view geometry, camera models and calibration, epipolar geometry, and image processing fundamentals.
Hands-on experience with deep learning for CV, including object detection, object tracking, semantic/instance segmentation, and the use of visual embeddings for retrieval or matching tasks.
Experience in data curation, model training, and customisation for solving real-world CV challenges.
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