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Quick answers for candidates and hiring teams reviewing this listing.
You focus on geospatial features, land-use and risk signals, and reproducible ETL from GIS sources—not generic tabular ML. You partner with ML engineers on model handoff and with domain experts on label quality.
Bring 1–2 shipped geo ML projects: map-based evaluation, leakage controls across tiles, and business metrics (precision/recall by region). Notebooks alone are weaker than production or strong offline benchmarks tied to a decision.
Yes—the listing targets Lyon with hybrid workplace. Confirm on-site cadence and travel to Paris or clients when you interview.
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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, PyTorch
Missing: SQL, Snowflake, QGIS
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, Snowflake, QGIS
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, PyTorch
Missing: SQL, Snowflake, QGIS
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, PyTorch
Missing: SQL, Snowflake, QGIS
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