Data Science / Machine Learning
Ciudad de México, CDMX, MX
MXN 990K-1300K (estimate) Senior-level Full Time
Tasks
- Build change detection models
- Calibrate anomaly detection models
- Communicate results to technical and business stakeholders
- Compute migration direction and mobility indices
- Design labeling strategy
- Develop dune migration tracking
- Evaluate model performance with ROC AUC
- Fine tune geospatial foundation models
- Fuse optical SAR DEM ERA5 wind data
- Implement SAR displacement analysis
- Implement geospatial model deployment workflows
- Ingest Copernicus data
- Prevent data leakage in train validation split
- Track displacement with amplitude change and coherence
- Validate detections against ground truth
Perks/Benefits
Skills/Tech-stack
Backscatter | Change detection | Containers | Coordinate reference systems | Copernicus | Cross-validation | Data Pipelines | Feature tracking | GDAL | Geopandas | Geospatial Data | Geospatial data pipelines | ISCE | InSAR | LoRA | MLOps | NumPy | Optical Data | Optical Flow | Optical Flow Tracking | PEFT | Pixel Offset Tracking | Planetary Computer | PyTorch | Python | ROC-AUC | Rasterio | Reference systems | Reprojection | SAR | SAR Coherence | SAR Offset Tracking | SNAP | STAC | Scheduled Inference | Scikit-image | Sentinel Hub | Shapely | Spectral Indices | Thresholding | Time Series | UTM | Xarray
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