Applied Computer Vision Engineer (TS/SCI)

Requirements

• Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently.
• Government Security Clearance at the TS/SCI level.
• We need a Computer Vision (CV) engineer to work on the full stack of the CV workflow, to include acquiring and standardization of imagery data, designing experiments and developing CV models, testing, evaluating various processes of the CV pipeline, and developing and prototyping AI/ML applications.
• Responsibilities Experimenting with novel CV models applied to commercial and government GEOINT data Design, develop, and deploy multiple CV pipeline components (e.g., image preprocessing, inferencing engine, data store, etc) Exploring and understanding how synthetic data and generative AI data can be applied to commercial and government GEOINT data Data engineering to transform various data types to support various phases of the AI/ML workflow Staying updated on recent CV technical advances from industry
• Qualifications: US citizenship and a current TS/SCI clearance (with willingness to get a CI Polygraph) B.S.
• in Data Science, Engineering, Math, Physics, Computer Science, Image Science or related field 5+ years developing, testing, and deploying CV models Competence with deep learning algorithms for computer vision (YOLO, SSD, DetectNet, etc.) Competence with the Python data science stack (e.g., numpy, pandas, matplotlib, sklearn, etc.) Competence with Python’s geospatial libraries, such as gdal, geopandas, shapely, etc.
• Competence with containerization platforms (Docker, Kubernetes, OpenShift, Cloud Foundry, etc.) Competence with Linux environments Ability to work with a geographically distributed team Ability to travel occasionally to government sites for customer meetings and demonstrations Excellent communication skills, demonstrated through technical writing (proposals, white papers, academic publications) and speaking engagements (briefing larger groups, conference presentations, etc.) Organizational skills and
• Qualifications: Advanced degree in Data Science, Engineering, Math, Physics, Computer Science, Applied Geography, image science or related field Competence with image generation models (Stable Diffusion, etc.) and platforms (Hugging Face, etc.)
• Experience working with synthetic training data generation
• Experience working with cloud-based platforms (AWS, Azure, etc.) and integrating AI/ML capabilities (SageMaker, IBM Watson Studio, etc.)