As a Senior Software Developer, Expert in Computer Vision with RGi, you will be directly supporting SOCOM customers with quick reaction support, focused on data, tools and technology. You will be extracting and transforming data using programming languages such as Python and associated open-source data analytics libraries. The ideal candidate is passionate about technology, and is an expert in computer vision models and other data-driven solutions. This program has some of the most interesting needs and hardest challenges to resolve. Our solutions require integrated models based on large and varied datasets, feeding analytic applications so that we can extract patterns and behaviors obscured within the data to augment the capabilities of human operators.Our solutions require integrated models based on large and varied datasets, feeding analytic applications so that we can extract patterns and behaviors obscured within the data to augment the capabilities of human operators. We need experienced Software Developers/ Data Scientists to work on all stages of the data science pipeline, to include applying existing machine learning software across large hyper-parameter trade spaces, developing new machine learning algorithms and evaluating the best the commercial AI/ML industry has to offer to our problem set. Clearance:Active Top Secret clearance with an ability to obtain SCI access and willingness to obtain CI PolygraphUS Citizenship required
As a Senior Software Developer, Expert in Computer Vision you will:
Extract and transform data using programming languages such as Python and associated open-source data analytics libraries
Ascertaining unique ways to apply algorithms to derive specific customer data analytic results
Applying big data analytics tools to large, diverse sets of collection data to assess risk of adverse threat activities
Extending existing algorithms as required to support customer requirements
Applying data science methods to create and optimize convolutional neural networks that will perform classification, localization and segmentation of various modalities of remotely-sensed imagery
Contribute to the development of data analytics, user workflows and interfaces, security authentication, and service call architecture comprising a family of applications in our software suite
Create rapid prototypes and design and implement complex, cutting-edge systems with a focus on collecting, parsing, managing, analyzing, and visualizing large sets of CV data to extract meaningful knowledge
Work with emerging technologies and data science techniques in support of endeavors to address the critical needs of the Intelligence Community, Department of Defense, and other government agencies.
Senior Software Developer, Expert in Computer Vision Qualifications:
BS in Computer Science or related degree with 15 years experience; or 10 years and a Masters degree; or a PhD with 8 years experience
Strong developer, particularly in C++, Python, R, SQL and shell script
Experience writing and working with GPU-accelerated software
Experience using Docker for packaging and delivering data science capabilities
Experience developing and testing machine learning, deep learning, or computer vision models
Experience with Data Analytics
Experience in machine learning and data science
Experience conducting model feasibility research and algorithm development for machine learning
Additional Skills We'd Like to See:
Graduate experience working with probabilistic and stochastic statistical analysis or computational intelligence
Strong object-oriented programming skills
Containerization experience is a plus, particularly using Docker and Kubernetes
Cloud services (AWS, GCP, Azure)
Experience with development tools such as Git, GitLab CI/CD
Ability to work both independently and in a team environment
Effective oral and written communication skills to include active listening
Experience with different flavors of Linux including Debian, Red Hat, Ubuntu, etc.
Programming in parallel computing
Experience with PyTorch, TensorFlow, and Keras
Experience working with open-source resources in a government computing environment
