Sr Data Scientist
United States Home Office, United States
R
USD 140K-160K Senior-level Full Time
Tasks
- Adapt vision foundation models for geospatial feature extraction
- Build production ready machine learning pipelines for satellite imagery processing
- Collaborate with data engineering mapping and product teams to deliver machine learning solutions
- Define evaluation metrics and run experiments to improve model performance
- Design computer vision and machine learning models to extract map features from satellite imagery
- Integrate machine learning outputs into mapmaking systems
- Monitor model quality and drive continuous improvement
Perks/Benefits
Skills/Tech-stack
Computer Vision | Convolutional Neural Networks | Coordinate systems | Deep learning | Foundation Models | Geospatial Analytics | Geospatial Data | Lifecycle Management | MLOps | MLOps Lifecycle Management | MLOps lifecycle | Machine Learning | Model Monitoring | Neural Networks | PyTorch | Python | Remote Sensing | Spatial analysis | TensorFlow | Transformers | Vision foundation models
Education
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