Backend Computer Vision Python Deep Learning Pytorch
Were looking for a Data Scientist (Computer Vision) who will empower us to build industry disruptive tech products and enable us to provide our customers with smart actionable insights that will revolutionize their businesses. Conceptualize and develop computer vision models to model driver behavior, road detection, signal detection, in cabin characteristics, etc. Provide signals based on video/image detection algorithms for other machine learning algorithms, such as road flow or traffic densities. Develop signal processing models as to characterize the attributes to a time series matrix. Test and put algorithms into a production ready state. Constructing solution concepts from insights using familiar or unfamiliar data sources or complete or partial data. Imputing the dependency between sensors and time series data. Design and build machine/deep learning and optimization algorithms efficiently Integrate, simulate, and test the impact of algorithms and features on the overall system Develop and execute necessary analyses, simulations, etc. to validate models and identify improvement opportunities Store, retrieve and visualize results in a manner that facilitates required analyses Effectively conceptualize analyses to business/product stakeholders
Minimum 6 years of relevant experience in one or more of the following: Video/Image detection, prediction, and classification on Signal processing and time series analysis Ph.D., Masters or an outstanding Bachelors in Computer Science, Electrical/Computer Engineering, Mathematics/Statistics, Operations Research, Industrial & Systems Engineering, or related technical disciplines. Strong fundamentals in Computer Vision. Proficient with Python and utilizing Deep Learning Libraries such as PyTorch Self-motivated and independent learner who is willing to share knowledge with the team. Efficient and detail-oriented time manager who thrives in a dynamic and fast-paced working environment
Experience in working with vehicle imagery and sensors Familiar with Linux/Unix and shell scripting Familiar with Quantization aware Training Familiar with porting neural networks to DSP/NPUs