Computer Vision Engineer with Security Clearance

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Job description

SE2S is seeking a Computer Vision Engineer to support the Autonomous Weapons Branch (H63) to develop and integrate autonomy and artificial intelligence (AAI) enabled weapon systems. We are searching for an accomplished Senior Computer Vision Engineer to join our team and lead the development of cutting-edge computer vision solutions. As a Senior Computer Vision Engineer, you will have a pivotal role in designing, implementing, and deploying computer vision algorithms and systems that will drive innovation within our organization. Job responsibilities include: - Computer Vision Algorithm Development: Strong background in computer vision, with hands-on experience in developing and deploying computer vision algorithms and models in production environments. Design, develop, and optimize computer vision algorithms for various applications, including object detection, image segmentation, and image recognition.
- Deep Learning: Apply deep learning techniques, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs), to solve complex computer vision problems.
- Data Collection and Annotation: Oversee data collection efforts and collaborate with teams to annotate and preprocess datasets for computer vision tasks.
- Model Training and Evaluation: Train and fine-tune computer vision models, and establish robust evaluation methodologies to assess their accuracy and performance.
- Integration: Collaborate with software engineers and cross-functional teams to integrate computer vision solutions into products and services.
- Optimization: Optimize computer vision algorithms for real-time and resource-constrained environments.
- Deployment: Deploy computer vision systems into production, ensuring scalability and reliability. Qualifications and Competencies:
- Education: A Bachelor's degree in computer science, computer vision, or a related field is preferred.
- Experience: A minimum of 5 years of experience in computer vision research and development. - Programming Skills: Proficiency in programming languages such as Python and C++ and experience with computer vision libraries (e.g., OpenCV, TensorFlow, PyTorch). - Deep Learning: Familiarity with computer vision concepts and techniques, including convolutional neural networks (CNNs), feature extraction, and image processing. - Experience with deep learning frameworks and libraries, and proficiency in using GPUs for model training and inference
- Data Handling: Excellent skills in data preprocessing, augmentation, and annotation for computer vision tasks. - Model Deployment: Experience with deploying computer vision systems in production environments.
- Strong communication skills and experience being a flexible team player. Cross-Functional Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to define requirements, prioritize tasks, and deliver solutions that meet business objectives
- Documentation and Reporting: Prepare documentation and technical reports to communicate model designs, implementation details, and performance metrics to stakeholders, ensuring transparency and reproducibility - Passion and tenacity to solve difficult problems in a highly functioning fast-paced team environment.

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