5 ai ml machine learning engineer jobs found

Description SAIC is seeking an AI Data Engineer to join our team at Fort Belvoir, Virginia. The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise (AISE). This role ensures data availability, quality, security, and operational integration to enable advanced analytics and decision-making. The AI Data Engineer will collaborate with cross-functional teams, optimize data workflows, and contribute to intelligence solutions. Key Responsibilities: Translate business requirements into logical data models to support entity relationships and data flows. Design and implement scalable data pipelines for AI and machine learning workloads. Develop and maintain data architectures to ensure data quality, availability, and security. Collaborate with internal teams and external stakeholders to meet AI/ML data requirements. Optimize data workflows for real-time analytics and...

Description SAIC has need for a Machine Learning Modeling and Simulation Engineer to support a rapidly expanding Government Intelligence Community (IC) customer with cutting-edge programs within the National Reconnaissance Office (NRO) in Chantilly, VA. Note: The role offers a flexible work schedule, but we ask our team to be available for team meetings during core business hours (10:00 a.m. - 3:00 p.m.). As the Machine Learning Modeling and Simulation Engineer, you will provide technical expertise across a variety of Machine Learning (ML) and Modeling and Simulation (M&S) topics, including developing and training ML models, designing simulation frameworks, conducting performance analyses, and applying data-driven approaches to solve complex problems. You will also assist with Systems Engineering topics (e.g., requirements, configuration management, readiness, verification and validation, etc.) to ensure seamless integration of ML capabilities within simulation...

Description SAIC seeks an Artificial Intelligence/Machine Learning Systems Engineer to join our team of professionals providing technical and program services to the U.S. Government (USG). SAIC provides research, engineering, design, analysis, acquisition, development, integration, test, and operations support USG Intelligence Community (IC) and Department of Defense (DoD) customers. The engineer sought here serves a USG Program Office leading Research & Development (R&D) of evolutionary, revolutionary, and transformational artificial intelligence and machine learning algorithms. This position provides Systems Engineering & Technical Advisory (SETA) support services. Your responsibilities include some or all of the following: Evaluation of advanced AI/ML concepts, systems, technologies, designs, architectures, interfaces into space and ground systems. Support Agile SAFe program development processes and activities Assist USG Program Office with...

Description SAIC is seeking a highly experienced Enterprise Architect to drive innovation and modernization efforts for Artificial Intelligence and Machine Learning (AI/ML) capabilities within the Department of Defense (DoD). In this role, you will provide strategic guidance, technology expertise, and enterprise-level solutions to support transformational initiatives and achieve mission success. Key Responsibilities: Enterprise Architecture and AI/ML Modernization: Translate DoD enterprise strategies into actionable future-state architectures and transition roadmaps for AI/ML modernization. Serve as a trusted advisor to DoD stakeholders, guiding the lifecycle of AI/ML solutions-from concept development to operational deployment. Apply multi-disciplinary techniques, including: Business process decomposition and redesign. Information engineering and organizational redesign. IT strategy, architecture development, change management, and performance measurement. Lead...

Description SAIC is seeking a talented and experienced Machine Learning Developer to join our dynamic team. This position is hybrid in Arlington, VA with 2-3 days per week onsite at the Pentagon or the Mark Center. The ideal candidate will have a strong background in computer science, software engineering, and experience with machine learning algorithms and frameworks. The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI solutions, improve predictive models, and deploy machine learning systems into production. Key Responsibilities: Develop and implement machine learning models and algorithms to provide suggested values to readiness reports for our DOD client. Refine data collection processes and improve data quality. Design and develop scalable machine learning solutions for various applications. Work with software developers to integrate machine learning models into production systems. Conduct research to identify new...