Job description

Expected, CNN, Vision Transformers, PyTorch, TensorFlowAbout the project, Looking to make an impact and grow within a leading organization? Do you want your input to be heard and taken into consideration? Apply and create a digital future with us!, , As a Senior Data Scientist, you will develop and implement machine learning models based on the data from Earth-observing satellites. The models will be used for monitoring of the current conditions of the individual crop fields. To stimulate the development of new machine learning models, you will collaborate with academia and research institutions from the EU and USA and of course get support from our engineering team!Your responsibilities, Prototype ML model for classification of the crop from remote sensing data, Prototype ML model for instance segmentation using vision transformers and CNN architectures, Collaborate with academia on the development of new deep learning architectures, Research self/weakly-supervised techniques to cover the problem of sparse data labelsA track record of designing Deep Neural Network architectures (CNN, Vision Transformers, Self-supervised learning) in PyTorch / TensorFlow, Experience in the operating of machine learning models in the production cloud environment (Kubeflow, continuous learning, data drift monitoring, etc.), Experience with remote sensing data (multi/hyper-spectral, radar/SAR, etc.)Optional, Good understanding of operating microservice architectures, General software engineering skills/hygieneWhy work with us?, 100% remotely, In case needed, well-located office space in Prague, Unlimited PTO, Provided money to create home-office, Health insurance benefit, Referral bonus: 5,000 PLN if we hire an engineer based on your recommendationDevsData LLC, We are a technology consulting company and a recruitment agency, delivering software solutions to clients from Europe and the US. We work 100% remotely, in an international team, including people from Asia, London, or San Francisco. We employ people with experience in international corporations as well as students of the best technical and business universities., , Find out more: is how we work,

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