Machine Learning Engineer

Prototype, develop and experiment with computer vision techniques and explore a variety of approaches Understand product requirements and translate them into engineering goals and tasks Explore new methods to leverage a large data-set of spontaneous real-world visual & image data Build systems for an end-to-end production-grade stack with low latency and high throughput Design, implement and optimize algorithms to run on edge devices Requirements Knowledge about computer vision, neural networks, optimization techniques and machine learning algorithms Responsible for building the ML/DL model according the specified requirements Strong knowledge in python programming Strong knowledge on ML/DL frameworks like TensorFlow, Keras, PYTorch, Spacy, Scikit learn Knowledge on PyQt.
Master's degree in computer science, Ph. D. in computer science or related fields.
0-1 year
Knowledge about computer vision, neural networks, optimization techniques and machine learning algorithms Responsibl...