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Mid-level AI lead at a known engineering firm increases competition, though CV specialization narrows candidate pool.
High because specialized computer-vision, sensor-fusion, and edge optimization skills are narrowly transferable.
High because explicit 5–7 years requirement and multiple mandatory CV, DL, sensor-fusion, and language skills.
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Design and implement AI/ML and computer vision solutions, including end-to-end deployment and performance optimization using techniques like quantization and pruning.
Lead development of image processing and sensor fusion algorithms, including segmentation and image quality improvement for monocular, stereo, and depth camera data.
Serve as a technical advisor to clients, collaborating with sales and delivery teams to identify solution opportunities and monitor solution performance metrics.
5-7 years of experience in computer vision and image processing application development.
Proficiency in Python and C/C++ programming languages.
Experience with AI/ML frameworks such as Caffe, Tensorflow, or PyTorch.
Strong knowledge of computer vision algorithms, deep learning for object detection and semantic segmentation, and traditional image processing methods.
Demonstrated technical leadership in developing scalable AI-based image processing solutions for clients.
Experienced in applying advanced machine learning optimization techniques on edge and cloud platforms.
Skilled at translating complex technical concepts into client solutions with a consultative approach.