As a Geospatial Machine Learning Engineer, you will contribute to the development of Marble’s EO analytics stack and help transform large volumes of satellite imagery into scalable geospatial intelligence products. You will design and implement machine learning and AI-based computer vision models that extract meaningful information from multispectral and SAR satellite data.Your main tasks:- Implementation of machine learning, AI and computer vision models for geospatial applications- Development and optimization of scalable processing pipelines for large volumes of Earth Observation data- Integration of machine learning models into Marble’s geospatial data processing infrastructure and analytics platform- Processing and analysis of Earth Observation imagery (multispectral and SAR) and derived datasets to support operational geospatial analytics products- Evaluation and validation of models with benchmark datasets- Contribution to documentation, technical proposals, and internal development roadmaps
