AI/ML Specialist

Archarithms Inc•Huntsville, AL

12d

About The Position

The Systems Engineering and Integration Team is seeking an Artificial Intelligence/Machine Learning (AI/ML) Specialist to support the design, guidance, and implementation of AI/ML-enabled capabilities for missile defense mission areas. The successful candidate will contribute across multiple phases of the mission lifecycle, supporting analytical, modeling, simulation, and decision-support activities related to detection, tracking, discrimination, fire control, and engagement functions within a complex system-of-systems environment. Must have an active and transferable DoD security clearance with current investigation at the required level. Must be able to maintain the required clearance Bachelor's degree (or higher) in Computer Science, Computer Engineering, or a related technical discipline. 10+ years of professional experience.

Requirements

Must have an active and transferable DoD security clearance with current investigation at the required level. Must be able to maintain the required clearance
Bachelor's degree (or higher) in Computer Science, Computer Engineering, or a related technical discipline.
10+ years of professional experience.
Demonstrated experience applying multiple Artificial Intelligence and/or Machine Learning techniques (e.g., artificial neural networks, Bayesian belief networks, decision trees) to complex technical or analytical problems.
Experience working with data-centric workflows, including data preparation, curation, labeling, and quality assessment for analytical or modeling purposes.
Familiarity with the full AI/ML lifecycle, including model development, training, testing, validation, and iterative improvement.
Experience collaborating with multidisciplinary teams, including systems engineering, software development, and domain subject matter experts.
Ability to translate high-level mission or system objectives into well-defined analytical or computational problem statements.
Experience documenting technical approaches, assumptions, and results in a clear and structured manner suitable for engineering and programmatic review.
Understanding of basic software engineering practices, including version control, modular design, and reproducibility.
Ability to work within established program constraints, including security, configuration management, and governance processes.

Responsibilities

Collaborate with systems engineers, domain experts, and software developers to identify appropriate problem formulations and opportunities for the application of AI/ML techniques.
Developing and curating training and evaluation datasets from diverse sources, defining data management and labeling strategies, and designing scalable training, testing, and validation infrastructure consistent with program constraints and security requirements.
Guiding the selection, development, and integration of AI/ML models into existing analytical, modeling, and simulation frameworks, ensuring alignment with system architectures, interfaces, and performance objectives.
Supporting model evaluation, uncertainty characterization, robustness assessments, and lifecycle considerations such as retraining, configuration management, and traceability.
Contributing to the establishment of best practices, standards, and governance for AI/ML usage, including documentation, verification and validation approaches, and coordination with broader digital engineering and systems engineering processes.
Providing guidance and subject matter expertise to the Digital Ecosystem and Platforms team for the SE&I Team's AI adoption strategy.
Identification, evaluation, and integration of Large Language Model(s), as well as use case specific AI tooling such as Sys ML modeling and Integrated Development Environment (IDE) plug-in