Senior Geospatial Machine Learning Engineer

📋 Description

• Develop and deploy vegetation intelligence products with ML, DL, CV, and geospatial Python libs
• Explore geospatial datasets, improve models, and troubleshoot production issues.
• Maintain and enhance vegetation modeling products for accuracy, reliability, and scalability.
• Lead end-to-end tech projects from planning to delivery and evaluation.
• Build measurement frameworks and performance metrics for data-driven decisions.
• Monitor production models with observability tools and diagnose issues.

🎯 Requirements

• 5+ years in ML/DS roles with production ML/DL experience.
• Experience with CV or DL models on satellite/aerial imagery.
• Strong Python and geospatial Python libs (rasterio, geopandas, shapely, GDAL).
• Understanding geospatial data structures, formats, workflows, analysis techniques.
• Proficient with ML/DL frameworks (PyTorch, TensorFlow, scikit-learn).
• Experience with data pipelines using Dagster, Airflow, dbt, etc.

🎁 Benefits

• Fully remote working environment.
• Work on climate action, wildfire prevention, and grid resilience projects.
• Own ML products and lead projects from concept to production.
• Collaborate with teams across Europe and the Americas.
• Exposure to satellite imagery, geospatial data, CV, and large-scale ML systems.
• High-impact technical challenges addressing real-world problems.