BigBear Inc
Computer Vision Engineer
BigBear Inc, Columbia, Maryland, United States, 21046
Overview
BigBear.ai
is seeking a
Computer Vision Engineer
to forefront of bridging the gap between complex data, advanced machine learning models, and tangible computer vision applications. The role encompasses the development and deployment of robust computer vision models and analytics, aiding in building intelligent systems and informing strategic decisions through data-driven insights. You will work closely with a diverse team of engineers and researchers to develop and implement high-performance, scalable, and reliable computer vision systems.What you will do
Design, develop, and deploy advanced computer vision models, ensuring they are performant and scalableAlign model development with the practical applications and specific problem domains within the organizationEnhance existing computer vision algorithms for better accuracy and efficiencyExplore and implement optimization techniques for model performance improvement in real-world applicationsConduct exploratory data analysis to discover patterns, anomalies, and insights within the dataStay abreast of the latest developments and advancements in computer vision and machine learningCollaborate closely with engineers, researchers, and product teams to integrate computer vision capabilities into products and workflowsWork with product teams to ensure smooth product delivery with high standards, prioritize short-term returns and long-term growthTake a creative and strategic approach to solve hard problems. Simplify the complex. Bring in fresh ideas from new placesWhat you need to have
Bachelor's Degree and 10 to 12 years of experience; Master's Degree and 8 to 10 years of experience; PhD and 5 to 7 years of experience (in lieu of Bachelor's degree, 6 additional years of relevant experience)Active Top Secret security clearance with SCI eligibility and CI PolygraphProficient experience with machine learning frameworks such as PyTorch, MXNet, or TensorFlowProficient programming skills in Python and C++In-depth knowledge of deep learning, covering aspects such as layer architecture, loss functions, optimization techniques, and moreHands-on experience in computer vision, image processing, and machine learning, with a demonstrable track record of developing and deploying models into productionProven understanding of State-of-the-Art deep learning techniques for computer visionHands-on experience with computer vision libraries such as Scikit-Image, OpenCV, Pillow (PIL Fork), TorchVision, MMCV, Detectron2, and AlbumentationsKnowledge of hardware acceleration libraries like NVIDIA CUDA-X, NVIDIA Performance Primitives, and OpenVINOStrong programming and debugging skillsProblem-solving skills and the ability to think critically and creativelyStrong communication and presentation skills to convey complex technical concepts to non-technical stakeholdersWhat we'd like you to have
Experience with CUDA or other GPU programming languagesKnowledge of software development best practices, including version control (e.g., Git), unit testing, and continuous integrationExperience with cloud computing platforms (e.g., AWS, Google Cloud, Azure) for deploying machine learning models. Experience with cloud platforms like AWS, Google Cloud, or Azure for deploying machine learning modelsPublications or contributions to conferences/journals in the field of AI/ML and computer visionActive participation in open- source community
About BigBear.ai
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on BigBear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in Columbia, Maryland, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.
BigBear.ai
is seeking a
Computer Vision Engineer
to forefront of bridging the gap between complex data, advanced machine learning models, and tangible computer vision applications. The role encompasses the development and deployment of robust computer vision models and analytics, aiding in building intelligent systems and informing strategic decisions through data-driven insights. You will work closely with a diverse team of engineers and researchers to develop and implement high-performance, scalable, and reliable computer vision systems.What you will do
Design, develop, and deploy advanced computer vision models, ensuring they are performant and scalableAlign model development with the practical applications and specific problem domains within the organizationEnhance existing computer vision algorithms for better accuracy and efficiencyExplore and implement optimization techniques for model performance improvement in real-world applicationsConduct exploratory data analysis to discover patterns, anomalies, and insights within the dataStay abreast of the latest developments and advancements in computer vision and machine learningCollaborate closely with engineers, researchers, and product teams to integrate computer vision capabilities into products and workflowsWork with product teams to ensure smooth product delivery with high standards, prioritize short-term returns and long-term growthTake a creative and strategic approach to solve hard problems. Simplify the complex. Bring in fresh ideas from new placesWhat you need to have
Bachelor's Degree and 10 to 12 years of experience; Master's Degree and 8 to 10 years of experience; PhD and 5 to 7 years of experience (in lieu of Bachelor's degree, 6 additional years of relevant experience)Active Top Secret security clearance with SCI eligibility and CI PolygraphProficient experience with machine learning frameworks such as PyTorch, MXNet, or TensorFlowProficient programming skills in Python and C++In-depth knowledge of deep learning, covering aspects such as layer architecture, loss functions, optimization techniques, and moreHands-on experience in computer vision, image processing, and machine learning, with a demonstrable track record of developing and deploying models into productionProven understanding of State-of-the-Art deep learning techniques for computer visionHands-on experience with computer vision libraries such as Scikit-Image, OpenCV, Pillow (PIL Fork), TorchVision, MMCV, Detectron2, and AlbumentationsKnowledge of hardware acceleration libraries like NVIDIA CUDA-X, NVIDIA Performance Primitives, and OpenVINOStrong programming and debugging skillsProblem-solving skills and the ability to think critically and creativelyStrong communication and presentation skills to convey complex technical concepts to non-technical stakeholdersWhat we'd like you to have
Experience with CUDA or other GPU programming languagesKnowledge of software development best practices, including version control (e.g., Git), unit testing, and continuous integrationExperience with cloud computing platforms (e.g., AWS, Google Cloud, Azure) for deploying machine learning models. Experience with cloud platforms like AWS, Google Cloud, or Azure for deploying machine learning modelsPublications or contributions to conferences/journals in the field of AI/ML and computer visionActive participation in open- source community
About BigBear.ai
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on BigBear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in Columbia, Maryland, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.