Senior Geospatial Machine Learning Engineer

📋 Description

• Develop vegetation intelligence products using geospatial Python libraries
• Build and optimize production ML models
• Work with satellite imagery for CV/DL solutions
• Lead projects end-to-end with cross-functional stakeholders
• Create measurement frameworks and evaluation metrics
• Collaborate to shape scalable data pipelines and platform architecture

🎯 Requirements

• 5+ years in ML/DS roles building production models
• CV/DL with satellite or aerial imagery
• Python with geospatial libs: rasterio, GeoPandas, Shapely, GDAL
• PyTorch, TensorFlow, or scikit-learn
• Experience with Dagster, Airflow, dbt or similar
• Familiarity with QGIS or similar tools

🎁 Benefits

• Fully remote, Canada-based candidates preferred
• Impactful work on infrastructure resilience and climate initiatives
• High ownership across ML and geospatial lifecycle
• Distributed international team across Americas and Europe
• Modern stack: Python, DL, geospatial analytics, orchestration, observability