Senior Geospatial Machine Learning Engineer
Tasks
- Analyze data and manage workflows with orchestration tools
- Build evaluation tooling and performance metrics
- Communicate model performance and business impact
- Develop and deploy vegetation intelligence products
- Explore geospatial datasets and improve models
- Influence data pipelines and platform architecture
- Integrate geospatial ML outputs into customer solutions
- Lead end-to-end technical projects
- Maintain and enhance vegetation modeling products
- Monitor production models and debug performance issues
- Use observability tools to monitor and diagnose systems
Perks/Benefits
Skills/Tech-stack
Aerial Imagery | Airflow | CI/CD | Computer Vision | DBT | Dagster | Deep learning | GDAL | Geopandas | Geospatial analysis | Grafana | Hyperspectral | Hyperspectral Imaging | Machine Learning | Multispectral | Multispectral imaging | Prometheus | PyTorch | Python | QGIS | Rasterio | Satellite imagery | Scikit-learn | Sentry | Shapely | TensorFlow
Education
N/A
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