Senior Computer Vision Engineer

Mantech International Corporation•Ashburn, VA

48d•Hybrid

About The Position

Transform the future of federal services with MANTECH! Join a vibrant, energetic team committed to enhancing national security and public services through innovative tech. Since 1968, we've partnered with Federal Civilian sectors to deliver impactful solutions. Engage in exciting projects in Digital Transformation, Cybersecurity, IT, Data Analytics and more. Ignite your career and drive change. Your journey starts now-innovate and excel with MANTECH! MANTECH seeks a motivated, career and customer-oriented Senior Computer Vision Engineer to join our AI innovation team in Ashburn, VA. This is currently a hybrid position with two days onsite and three days remote. Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of solutions to aid officers in detecting threats while promoting efficient trade and travel.

Requirements

HS Diploma/GED and 15-20 years, AS/AA and 13-18 years, BS/BA and 7+ years or MS/MA/MBA and 5+ years or PhD/Doctorate and 3+ years.
Expertise with deep learning frameworks (PyTorch, TensorFlow, Keras) and computer vision libraries (OpenCV, SimpleITK, ITKm VTK).
Demonstrated ability in image preprocessing techniques, including filtering, noise reduction, feature extraction, and handling various image formats.
Hands-on experience with productionizing models, including optimizing for inference speed, containerization (e.g., Docker), and cloud deployment platforms (e.g., AWS, Azure, GCP).
Proven track record with 2D/3D imaging analysis: reconstruction segmentation, detection, and volumetric modeling.
Proficiency in Python and C++, with strong understanding of high-performance computing and GPU acceleration.
Experience with biometric recognition algorithms and predictive analytics pipelines.
Must be a U.S. Citizen and be able to obtain and maintain a CBP suitability.

Nice To Haves

Experience with X-ray CT reconstruction algorithms, 3D-point cloud analysis and multimodal data fusion.
Experience with GPU-based infrastructure and performance optimization
Experience with MLOps principles and tools for automated model training, testing, and deployment.
Knowledge of specific computer vision application areas such as robotics, augmented reality (AR), or industrial inspection.
Familiarity with various camera technologies and sensor data acquisition.

Responsibilities

Design, develop, and implement highly efficient computer vision algorithms and software primarily using Python and relevant libraries (e.g., OpenCV, NumPy, scikit-image).
Apply deep learning techniques (e.g., CNNs, RNNs, Transformers) for object detection, segmentation, tracking, and recognition using frameworks like TensorFlow or PyTorch.
Perform comprehensive image preprocessing and augmentation on large datasets of both 2D (standard images/video/X-rays) and 3D (e.g., volumetric data) data.
Develop and optimize biometric recognition systems (face, iris, fingerprint) and integrate with predictive modeling pipelines for risk scoring and anomaly detection.
Lead the integration and successful deployment of trained models into production environments (e.g., cloud, edge devices). Develop and optimize models for real-time inference and efficiently handle large-scale data processing pipelines.
Research, evaluate, and benchmark new computer vision technologies and academic advancements to maintain a competitive edge.
Collaborate with cross-functional teams (e.g., Software Engineering, Data Science) to integrate vision systems into final products.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume