Writing reusable, testable, and productive production code in Machine and Deep Learning pipelines for Computer Vision Design and implementation of low-latency, high-availability applications#machinelearning Understand user requirements and provide technical solutions Integration of user-facing elements developed by front-end developers with server-side logic Integration 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 modern machine learning methods and deep learning architectures and paradigms, e.g., Inception, Res Net/Res Next 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 applications Familiarity with event-driven programming Understands 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
📌 Software developer – AI/ML/Deep learning (India)
🏢 CONNECTING 2 WORK
📍 India
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