Enhance existing Computer Vision systems to achieve high performance Prototype new algorithms rapidly, iterating to achieve high levels of performance Package these prototypes as robust models written in production level code to be integrated into the product. Requirements: Strong understanding of linear algebra, optimisation, probability, statistics Experience in the data science methodology from exploratory data analysis, feature engineering, model selection, deployment of the model at scale and model evaluation Background in Machine Learning with experience in large scale training and convolutional neural networks Deep understanding of evaluation metrics for different computer vision tasks Knowledge of common architectures for various Computer Vision tasks like object detection, recognition, and semantic segmentation Experience with Python Web Framework (Django/Flask/FastAPI), Machine Learning frameworks like Tensorflow/Keras/Pytorch. Role: Software Development - Other Industry Type: Sports / Leisure & Recreation Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills TrainingComputer visionData analysisPrototypeWeb technologiesdata scienceNeural networksDjangoMachine learningPython
remote
remote
Software Developer
(Based On Interview)
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