Senior Geospatial ML Engineer - Climate AI Lead (Remote)
Jobgether
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Benefits offered by this job
Job summary
Jobgether is seeking a Senior Geospatial Machine Learning Engineer to develop AI solutions that transform satellite and environmental data into actionable insights. You will own projects from experimentation through production, collaborating with multidisciplinary teams to deliver geospatial ML products.
The ideal candidate has 8–10+ years in ML/geospatial fields, deep learning, Python, and experience with GDAL, Rasterio, Shapely, GeoPandas.
Qualifications
- 8–10+ years in machine learning engineering or geospatial engineering.
- ,
- The ideal candidate will have strong Python programming skills and hands-on experience with geospatial libraries (GDAL, Rasterio, Shapely, GeoPandas).
- Familiarity with deep learning frameworks (PyTorch or TensorFlow) and satellite/aerial imagery processing.
Responsibilities
- Develop geospatial intelligence products using Python and ML/DL techniques.
- Lead projects from planning through delivery and stakeholder communication.
- Collaborate with data engineering, product, platform, and delivery teams across the ML lifecycle.
- Build tools to evaluate model performance and data-driven prioritization.
Skills
Tools
Job description
Jobgether is seeking a Senior Geospatial Machine Learning Engineer to develop AI solutions that transform satellite and environmental data into actionable insights. You will own projects from experimentation through production, collaborating with multidisciplinary teams to deliver geospatial ML products.
The ideal candidate has 8–10+ years in ML/geospatial fields, deep learning, Python, and experience with GDAL, Rasterio, Shapely, GeoPandas.
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