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3+ years of Python development experience.
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3+ years of SQL experience.
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3+ years of experience in deep learning in one of the following: object detection, segmentation, tracking, pose estimation, face recognition, action recognition
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3+ years of experience in hardware acceleration of computer vision, image processing or video
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Knowledge and experience in automotive software and protocols e.g. CAN/LIN/UDS/I2C
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. Clickhouse, Spark, Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar).
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Solid understanding of machine learning, deep learning frameworks, neural network architectures, and the principle of neural network engines
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Hands-on experience on model compression (quantization, pruning, etc.), model deployment on edge devices with GPU/NPU/TPU or other neural network engines
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At least 2 years of experience in implementing Computer Vision, Image recognition and Deep learning models on Realtime projects.