Senior Geospatial Machine Learning Engineer
New
C
CleraClimate tech
Primary hiring location is Portugal, with team members also based across Europe and the AmericasFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 8–10+ years
- Required Skills
- PythonMachine LearningPyTorchTensorflow
Requirements
- 8–10+ years of relevant experience in machine learning engineering, geospatial engineering, or a closely related field.
- Strong proficiency in Python, with hands-on experience using geospatial libraries: GDAL, Rasterio, Shapely, Fiona, GeoPandas.
- Experience with scientific Python tools: NumPy, SciPy, scikit-learn, Pandas.
- Practical experience with deep learning frameworks: PyTorch and/or TensorFlow.
- Comfortable working with satellite or aerial imagery and raster/vector geospatial datasets.
- Experience with workflow orchestration tools (e.g. Dagster or similar).
- Ability to lead projects independently and communicate technical work clearly to non-technical stakeholders.
- Passion for climate action and solving complex environmental challenges through technology.
Responsibilities
- Develop new vegetation intelligence products using standard geospatial Python libraries alongside machine learning and deep learning tools.
- Support existing products through data exploration, model improvements, and bug fixes using QGIS, Dagster, Sentry, and Grafana.
- Lead projects and initiatives end-to-end including planning, execution, and delivery.
- Build tooling and processes to measure the performance and business value of your team's work.
- Collaborate closely with upstream data ingestion teams and downstream delivery/refinement teams throughout the full scientific product lifecycle.
- Contribute to shaping team culture, processes, and technical direction.
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