Electronic Logging Devices • Fleet Management • Vehicle GPS Tracking • Driver Vehicle Inspection Reports • IFTA Reporting
1001 - 5000
3 days ago
Electronic Logging Devices • Fleet Management • Vehicle GPS Tracking • Driver Vehicle Inspection Reports • IFTA Reporting
1001 - 5000
• Motive empowers physical operations with tools for safer, more productive work. • Technology to understand driving behavior and identify risk factors. • Design and implement complex computer vision systems. • Build and optimize CV/ML algorithms for real-time performance. • Collaborate with cross-functional teams to ensure robust AI systems. • Solve object detection, segmentation, recognition, and geometric vision problems.
• Bachelor’s Degree in Computer Science, Electrical Engineering, or related field. A Master’s degree is a strong plus. • 2 years of industry experience or academic research experience in the area of Computer Vision, Deep Learning, and Machine Learning. • Solid mathematical foundation in Computer Vision, Deep Learning, Machine Learning, and optimization approaches. • Hands-on experience in training framework and tools (TensorFlow | Pytorch | Caffe) • Strong experience in Python or C++ • Experience in the following tools and technologies is a plus. AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes.
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