Build the Market Leader in Satellite Analytics with us at LiveEO
We are looking for a highly skilled Data Engineer to join our team. LiveEO leverages satellite imagery and artificial intelligence to provide actionable insights that drive decision-making across various industries. Examples are the precise detection of trees and their height in high resolution imagery to protect our customers power grids from tree fall, or the detection of dangerous construction work around critical infrastructure.
The successful candidate will join LiveEO’s AI team and will be a key contributor to the company’s effort to build state of the art geospatial AI models. The role involves building robust, automated and efficient data pipelines that transform terabytes of satellite data into ML-ready format for large scale model training.
You will have the ability to make a large personal impact on the development of the AI team and make significant contribution to foundational geospatial AI solutions of LiveEO. We don’t expect you to be an expert in all of the above but you should have the willingness to dive into new technical challenges and work on groundbreaking projects.
Tech stack & tools that we are using:
The successful candidate will join LiveEO’s AI team and will be a key contributor to the company’s effort to build state of the art geospatial AI models. The role involves building robust, automated and efficient data pipelines that transform terabytes of satellite data into ML-ready format for large scale model training.
You will have the ability to make a large personal impact on the development of the AI team and make significant contribution to foundational geospatial AI solutions of LiveEO. We don’t expect you to be an expert in all of the above but you should have the willingness to dive into new technical challenges and work on groundbreaking projects.
Tech stack & tools that we are using:
- Python: Rasterio, Numpy, PDAL, OSGEO, Geopandas, SQLAlchemy
- Orchestration: Prefect, Anyscale/Ray
- Databases: PostgreSQL, PostGIS
- Infrastructure: Docker, AWS
- GIS: QGIS, GDAL