AI role · Open offer
Focus: Geospatial AI · Earth observation · Location intelligence
Geospatial intelligence & AI — satellite, mapping, and location-aware products
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You own production ML for earth-observation or risk use cases: model training, GDAL/raster pipelines, deployment with MLOps guardrails, and mentoring on geospatial data quality. Expect hybrid work in Paris with cross-team research handoff.
Strong PyTorch, Python geospatial stack (GDAL, rasterio, GeoPandas), and experience shipping models on satellite or aerial imagery. Production monitoring, reproducible experiments, and clear communication with product and GIS stakeholders are essential.
The listing advertises roughly EUR 115k–145k total compensation depending on experience and hybrid arrangement. Confirm equity, bonus, and on-site days with the hiring team when you apply.
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Scores reward proof density: skills, projects, use cases, and experience. When you filter talent search or view matches from a job, we also show which required stack items are present or missing.
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Has: Python, PyTorch, Docker
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How to read this score
Scores reward proof density: skills, projects, use cases, and experience. When you filter talent search or view matches from a job, we also show which required stack items are present or missing.
Context fit
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How to read this score
Scores reward proof density: skills, projects, use cases, and experience. When you filter talent search or view matches from a job, we also show which required stack items are present or missing.
Context fit
Has: Python, SQL
Missing: PyTorch, AWS, Docker, GDAL
How to read this score
Scores reward proof density: skills, projects, use cases, and experience. When you filter talent search or view matches from a job, we also show which required stack items are present or missing.
Context fit
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