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# Cleared Computer Vision Scientist

- **Company:** Accenture
- **Location:** Washington, DC, United States
- **Salary:** $108,400.0 - $203,400.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Computer Vision, Microsoft Azure, Biometrics, C++ (Programming Language), Continuous Integration, Python (Programming Language), Machine Learning, Object Detection, OpenCV, Tensorflow, SONAR (Symantec), Pytorch, Deep Learning, Gitlab-ci, Kubernetes, Information Technology, Data Management, Machine Learning Operations, Lidar, Programming Languages
- **Published:** October 26, 2026
- **Apply:** https://www.dcjobsite.com/job.asp?id=3468803059&tx=FK4946FFL&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Hands-on experience with computer vision libraries (e.g., OpenCV) and deep learning frameworks (e.g., PyTorch, TensorFlow)
 * Proficiency with programming languages such as Python, C/C++ or Rust
 * Strong understanding of CNNs, transformers and other advanced architectures and their applications in computer vision tasks
 * Strong analytical and problem-solving skills
 * Ability to work collaboratively in a team environment and take direction from senior team members
 * Hands-on experience with developing computer vision models at scale from inception to business impact
 * Design and develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
 * U.S. Citizenship (No Dual citizenship)

Bonus points if you have:

 * Advanced Degree in computer science, technology, engineering, mathematics (STEM) related field, with Ph.D. preferred, but not required
 * Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB, Airflow, Kubeflow, Gitlab CI or DVC
 * Hands-on experience developing and deploying machine learning pipelines in AWS, Azure or GCP
 * Hands on experience deploying, maintaining, testing, and optimizing ML models and data platforms in a production environment
 * Hands-on experience with other image modalities (SAR, IR, HSI, Lidar, Sonar)

Security Clearance:

 * Active Top Secret or TS/SCI or TS/SCI with polygraph Clearance

## Description

* Develop, train, finetune and evaluate computer vision models in a wide range of topics, including geospatial, biometrics, 3D vision, semantic extraction, etc.
 * Deploy, maintain, and optimize ML models and data processes in a production environment
 * Develop custom Computer Vision (CV) algorithms that translate into mission value
 * Create tools to provide feedback from production ML models and data processes
 * Assist in the development and optimization of computer vision models using deep learning frameworks (e.g., PyTorch, TensorFlow).
 * Collaborate with other scientists and engineers to build and deploy models for tasks such as object detection, image segmentation, classification, and tracking
 * Stay up to date with the latest research and advancements in the field of computer vision and deep learning
 * Participate in data collection, preprocessing, and augmentation processes to ensure high-quality datasets
 * Conduct experiments, analyze results, and contribute to the improvement of model accuracy and efficiency
 * Assist in the integration of computer vision algorithms into production systems and applications
 * Document code, methodologies, and experimental results