Build the Market Leader in Satellite Analytics with us at LiveEO
At LiveEO, we combine Space Technology with AI to solve problems here on Earth.
LiveEO is applying the latest developments in artificial intelligence to analyse satellite data and is bringing the insights of earth observation data to customers in the enterprise sector. LiveEO’s ambitious goal is to monitor 1 billion assets across the globe with its unique SaaS solution until 2030.
We are looking for highly skilled Data Engineers to join our team. LiveEO leverages satellite imagery and artificial intelligence to provide actionable insights that drive decision-making across various industries. An example is the precise detection of trees and their height in high resolution imagery to protect our customers power grids from tree fall. The focus of the role is on building robust and automated data pipelines around our geospatial processes that handle terabytes of data. Our pipelines involve a wide-range of topics such as efficient tiling strategies, merging of different data sources and challenges around various types of digital elevation models (incl. disparity matching & offset-correction).
Usually these processes serve as pre- or post-processing steps for our Machine Learning models.
LiveEO is applying the latest developments in artificial intelligence to analyse satellite data and is bringing the insights of earth observation data to customers in the enterprise sector. LiveEO’s ambitious goal is to monitor 1 billion assets across the globe with its unique SaaS solution until 2030.
We are looking for highly skilled Data Engineers to join our team. LiveEO leverages satellite imagery and artificial intelligence to provide actionable insights that drive decision-making across various industries. An example is the precise detection of trees and their height in high resolution imagery to protect our customers power grids from tree fall. The focus of the role is on building robust and automated data pipelines around our geospatial processes that handle terabytes of data. Our pipelines involve a wide-range of topics such as efficient tiling strategies, merging of different data sources and challenges around various types of digital elevation models (incl. disparity matching & offset-correction).
Usually these processes serve as pre- or post-processing steps for our Machine Learning models.