Job Description

The Ideal candidate will be adept at managing customer relationships, driving operational excellence, and fostering continuous improvement across all service areas in a global environment. Your Responsibilities Include: Designs and architects AI and Data Science solutions using algorithmic and quantitative methods to meet the predictive analytics needs of the organization. Performs analysis and processing of data into feature sets for Data Science and AI applications, interpreting large volumes of data (e.g. images, metrics, etc.) in search of patterns and/or anomalies. Identifies and gathers relevant data from various sources, including databases, APIs, web scraping, and third-party providers, combining data into a cohesive and understandable dataset. Trains and maintains algorithmic AI models. Support the design and execution of experiments and tests to evaluate the performance and reliability of prototype solutions in laboratory and operational settings. Collects and analyzes statistics, data, and algorithms for projection accuracy and develops methods for quantitative measurement of algorithmic predictive power. Designs standardized architecture to integrate AI models into software solutions that meet organizational needs. Takes measures to ensure adherence to organizational guidelines for security and the ethical use of AI. Research, test, and evaluate the best-of-breed data collection mechanisms to curate modeling and simulation. Research varying data feeds and effectors to model the kill chain. Architect science and technology data collection strategies that automates ingest and indexing to transform data into quarriable intelligence. Develop machine learning and unsupervised learning models and dataset statistics. Collaborate with multidisciplinary team to apply AI/ML to critical public sector challenges. Knowledge of software engineering principles and best practices, including version control systems (e.g., Git), software design patterns, unit testing, and CI/CD pipelines. Coordinates with internal teams and external stakeholders to maintain operations, mitigate risks, and restore normal operations during an outage/incident event. Utilizes forensic tools and techniques to gather, preserve, and analyze evidence in support of incident investigations, providing recommendations to prevent future incidents. Analyzes assignments in the form of objectives, implied tasks, and establishes goals to successfully meet outlined objectives in the designated sprint. Has a general knowledge of IT disciplines to provide direction to employees according to established policies and management guidance. Ensures appropriate compliance regulations are established and upheld. Required Qualifications: You Bring to The Table: Bachelor's degree in Computer Science, Information Science/Technology, Engineering, or a related field and five (5) years or more experience; Master's and three years' experience in designated field. Experience may be considered in lieu of degree. Security+ Certification. Experience working in a DoD environment supporting Combatant Commands and/or Joint Staff in an enterprise IT environment, across multiple domains and various clearance levels. Experience working in an Agile Community, using Agile methodology for product and project management. Cloud environment, preferably AWS certification. Experience developing visualizations (Tableau, PowerBi, etc) for customers to determine anomalies and gain actionable intelligence from their data. Experience in developing or using deep learning frameworks (e.g. Tensorflow, Keras, Caffe, PyTorch, ONNX, etc.) as well as Python, JavaScript, and C++ to create a faster, more capable AI. Experience with programming languages such as C/C++, real-time operating system, embedded software. Strong analytical, problem-solving, and debugging skills. Excellent interpersonal and communication (verbal and written) skills. ship and Secret security clearance is required. Must be able to obtain, or maintain, the security clearance as required. Preferred Qualifications: ITIL certification is a plus. Experience in MCU development environments is a plus.

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