Senior Geospatial Machine Learning Engineer
New
C
CleraClimate tech
The team spans the Americas and Europe, and this role is fully remote. Candidates based in Canada are preferred for this posting., Americas and Europe time zonesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonMachine LearningPyTorchTensorflowDeep LearningComputer Vision
Requirements
- 5+ years of experience as a Machine Learning Engineer or Data Scientist building and deploying production ML/deep learning models.
- Demonstrated experience building computer vision or deep learning models on satellite or aerial imagery.
- Proficiency with geospatial Python libraries such as rasterio, geopandas, shapely, and GDAL.
- Experience with Python-based ML/deep learning frameworks like PyTorch, TensorFlow, or scikit-learn.
- Experience with data pipeline orchestration tools like Dagster, Airflow, or dbt.
- Experience with QGIS or equivalent geospatial visualization and analysis software.
- Experience with model monitoring, evaluation metrics, and performance measurement in production environments.
- Track record of leading cross-functional projects or initiatives from planning through delivery is a plus.
Responsibilities
- Develop new vegetation intelligence products using geospatial Python libraries, machine learning, and deep learning techniques.
- Maintain and improve existing products through data exploration, model optimization, and debugging using tools like QGIS, Dagster, Sentry, and Grafana.
- Lead projects end-to-end from planning and execution through delivery.
- Communicate the value of your work to cross-functional stakeholders.
- Build measurement frameworks and tooling to evaluate model performance and guide data-driven decisions.
- Collaborate with upstream data ingestion teams and downstream product delivery teams to shape platform architecture and pipelines.
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