Computer Vision Engineer
Core
Design, develop, and deploy computer vision models for commercial and government GEOINT data, including preprocessing, inferencing, and data storage.
Role type
Senior IC Computer Vision Engineer
Builds
AI/ML applications for spatial intelligence and mission-critical challenges
Domain
Government Intelligence (GEOINT) + Computer Vision
Deliverable
production ML models
Required skills
Deep learning for computer vision (YOLO, SSD, DetectNet), Python data science ecosystem (numpy, pandas, sklearn), Python geospatial libraries (gdal, geopandas, shapely), Container platforms (Docker, Kubernetes, OpenShift, Cloud Foundry), Linux environments, Data engineering
Preferred skills
Image generation models (Stable Diffusion, Hugging Face), Synthetic training data generation, Cloud platforms (AWS, Azure), AI/ML tools (SageMaker, IBM Watson Studio), Remote sensing and GEOINT datasets
Technologies
AWS, Azure, Cloud Foundry, Docker, Kubernetes, OpenShift, Linux, Python, numpy, pandas, gdal, geopandas, shapely, YOLO, SSD, DetectNet, Stable Diffusion, Hugging Face, SageMaker, IBM Watson Studio
Responsibilities
Experiment with innovative computer vision models on GEOINT data, Design and deploy components across the full CV pipeline, Investigate synthetic data and generative AI usage with GEOINT sources, Perform data engineering for diverse data types, Stay current on computer vision advances and apply to mission problems, Brief internal teams on delivery status and project risks