KI für den guten Zweck

Space-Eye is working on web tools to find boats in need of rescue at sea. The back end component is based on the Django framework, the front end is a React based web app. The source code is Open Source in currently non-public repositories. All developers contribute to the project as volunteers in their spare time.

(Full Stack/DevOps) Web Developer

• Python (Django) back end
• JavaScript (React) GUI development
• Issues and Code are managed in Gitlab
• We work in a small mixed team with experts in machine learning, data science, geoinformatics, web developmers, and Linux admins
• Weeklies are every Thursday at 18:30 CE(S)T. Frequent attendance is expected.
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Space-Eye is working on web tools to find boats in need of rescue at sea. We have established the first visual satellite datasets to train models to detect migrant boats at sea and work. Other research directions include radar-based satellite data and drift detection and forecasting. We not only work to improve our models, but also productionalize our models to provide the results. If you’re interested in bringing your data science and machine learning engineering skills along the full pipeline to our project you’d be a great help.

Data Scientist/ Machine Learning Engineer: • Python development • Creation of purpose built data sets and preprocessing pipelines • Training and evaluation of AI models • Productionalizing and Serving of the models (TF Serve / API based) • Frequent attendance in weekly meetings Thursday at 18:30 CE(S)T __________________________ Space-Eye is working on web tools to find boats in need of rescue at sea. We are handling large amounts of geocoded data, but so far we lack a specialist in Geoinformatics with knowledge of cloud optimized geotiff or Geoserver. If these are not a foreign concepts for you, you’d would be a great help. Geoinformatics Researcher: • Python development • Improvement of Space-Eyes data analysis pipeline • Providing advice on geoinformatics to the rest of the research team • Frequent attendance in weekly meetings Thursday at 18:30 CE(S)T