Job Description We are seeking a motivated, career- and customer-oriented SME Computer Vision Engineer to join our clients AI innovation team in Ashburn, VA. This is currently a hybrid position with two days onsite and three days remote. We are looking for self-starters who can independently explore and acquire knowledge and build informal support networks. Responsibilities include: - 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. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements - BS/BA and 12+ years or MS/MA/MBA and 9+ years or PhD/Doctorate and 7+ years (for SME) in Computer Science, Electrical Engineering, or a related field with a specialization in Computer Vision or Biometrics. - 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. - 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.