Senior Geospatial Machine Learning Engineer
Tasks
- Build production machine learning models
- Create model evaluation metrics and tooling
- Design scalable data pipelines and platform architecture
- Develop computer vision solutions for geospatial imagery
- Develop vegetation intelligence products
- Investigate production issues using geospatial analysis
- Lead machine learning projects end to end
- Monitor production machine learning systems
Perks/Benefits
- Canada based candidates preferred
- Climate focused initiatives
- Cross-functional collaboration
- Fully remote work
- Impact on infrastructure resilience
- International team collaboration
- Ownership
- Wildfire risk reduction
Skills/Tech-stack
Airflow | Computer Vision | Computer vision models | DBT | Dagster | Data pipeline | Data pipeline orchestration | Deep learning | GDAL | Geopandas | Grafana | Hyperspectral Imaging | Machine Learning | Model Evaluation | Model Monitoring | Multispectral imaging | Observability | Pipeline Orchestration | Prometheus | PyTorch | Python | QGIS | Rasterio | Satellite imagery | Scikit-learn | Sentry | Shapely | TensorFlow | Vision Models | Workflow Orchestration
Education
N/A
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