Applied Computer Vision Engineer
Core
Design, build, and deploy computer vision pipelines for commercial and government GEOINT data, integrating synthetic data and generative AI outputs.
Role type
Senior Applied Computer Vision Engineer
Builds
Computer vision pipelines (preprocessing, inferencing, data storage) for GEOINT applications
Domain
Government Intelligence (GEOINT) and 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
Preferred skills
Image generation models (Stable Diffusion), Hugging Face, synthetic training data creation, cloud platforms (AWS, Azure), AI/ML integrations (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 novel computer vision models on GEOINT data, design and deploy computer vision pipeline components, perform data engineering for AI/ML workflows, apply industry/academia advances to mission challenges, brief internal teams on delivery status and findings