Writing reusable, testable, and effective production code in Machine and Deep Learning pipelines for Computer VisionDesign and implementation of low-latency, high-availability applications#machinelearning Understand user requirements and provide technical solutionsIntegration of user-facing elements developed by front-end developers with server-side logicIntegration of data storage solutions like databases, key-value stores, blob stores, etc. Any one of the following combinations (CUDA and OpenCL (big plus!):Mobile development: Java, Kotlin, Tensorflow Lite, CoreMLPython and C++ (Tensorflow 2 or PyTorch or both)Demonstrable Image Processing and Computer Vision problem-solving skills, understanding of up-to-date machine learning methods and deep learning architectures and paradigms, e.g., Inception, ResNet/ResNext etc. Can train Computer Vision models on a GPU or multiple GPUs.Proficient with Linux Command Line is must)Understanding of fundamental design principles behind a scalable applicationsFamiliarity with event-driven programmingUnderstands and is able to write and consume or learn writing HTTP REST and Streaming APIs using Flask/Django/Spring (Boot).1+ years experience Apply here