Job Description:
Experience in computer vision, machine learning or image-processing solutions, preferably in production settings.
Solid Python and practical experience with OpenCV and deep-learning frameworks such as PyTorch or TensorFlow.
Hands-on experience with detection, segmentation, classification, tracking, OCR and image-quality assessment.
Understanding of industrial cameras, lenses, lighting, calibration, triggering, networking and edge-compute constraints.
Experience curating and annotating datasets, selecting metrics and evaluating false-accept/false-reject trade-offs.
Experience deploying optimized inference pipelines using containers, APIs and edge accelerators.
Ability to troubleshoot the complete vision chain from image formation to model output and system action.
Bachelor's or master's degree in computer science, electronics, instrumentation, robotics or a related discipline.