AI Software Engineer with Security Clearance

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Job description

AI Software Engineer Charleston, SC Responsibilities: Assist with data acquisition and collaborates with other departments for company growth via AI advancements. Engineer AI-driven solutions that model human behavior to accomplish complicated tasks or to complete complex processes. Use robust statistical inference and predictive analysis on quantitative and qualitative datasets. Develop and maintain back-end AI systems compatible with ORBIS built devices. Develop and maintain front-end AI systems and interfaces. Actively engage in status meetings and update documentation on a regular basis via an Agile framework. Requirements: At minimum, a bachelor's degree in Mathematical Sciences, Data Analytics, or a Computer Science related field MA or MS is preferred. US Citizen with ability to obtain Secret Security Clearance Exceptional written/verbal communication along with problem-solving capabilities. Capable of working autonomously and collaboratively, as needed. Knowledge of version control systems, such as Azure DevOps, is preferred. Below are the required skills and knowledge: Programming Skills: - Required: Python - Additionally Preferred: C, C#, JavaScript, etc. Package Knowledge: - Required: PyTorch, Tensorflow, Keras, Numpy, OpenCV/Pillow. - Additionally Preferred: Scikit-Learn, Pandas, etc. Data Structure Knowledge: - Required: Understanding of image manipulation and normalization, ability to parse file formats (XML, JSON, TXT, etc.), ability to load data and model structures from files (.h5, .pt, .pickle, etc.). - Additionally Preferred: Understanding of relational vs non-relational databases. Programming and Mathematics Knowledge: - Required: Tensor (Ricci) Calculus, Graph Theory, advanced Frequentist and Bayesian statistics, object-oriented programming. - Additionally Preferred: systems programming, quaternions, normal vs complex spaces. AI Knowledge: - Required: Standard FFN's, CNN's, RNN's and transformers, deep learning, reinforcement learning, clustering, data normalization, and data augmentation strategies. - Additionally Preferred: Prebuilt deep learning architectures, continuous learning strategies, etc. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. ORBIS offers an excellent benefits package and a competitive salary in a professional atmosphere.

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