AI​/ML Specialist; Contingent Award

Overview

Davidson Technologies is seeking an Artificial Intelligence/Machine Learning (AI/ML) Specialist in Huntsville, Alabama. 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.

Collaborate with systems engineers, domain experts, and software developers to identify appropriate problem formulations and opportunities for the application of AI/ML techniques. Position is contingent on contract award and continued program funding.

• 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, including model evaluation, uncertainty characterization, robustness assessments, and lifecycle considerations such as retraining, configuration management, and traceability.
• Establishing 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, with emphasis on explainability, testability, and integration within mission-relevant workflows while maintaining policy, security, and program constraint compliance.
• Providing guidance and subject matter expertise to the Digital Ecosystem and Platforms team for the SE&I Team's AI adoption strategy.
• Identifying, evaluating, and integrating Large Language Models and use-case specific AI tooling such as SysML modeling within mission-relevant workflows.

• Bachelor's degree in engineering, Computer Science, Applied Mathematics, Physics, or related discipline
• Master's degree or PhD strongly preferred
• 10 to 20 years of experience in the related field
• Must be a U.S. Citizen

• Experience applying AI/ML techniques within complex, distributed, or system-of-systems environments.
• Familiarity with modeling and simulation, digital engineering, or analytical frameworks used to support system design, assessment, or decision support.
• Experience with scalable training, testing, or evaluation infrastructure, including compute resource management and automation.
• Exposure to uncertainty quantification, robustness analysis, model verification and validation, or performance assessment methodologies.
• Experience supporting data governance, model traceability, or lifecycle management in regulated or mission-critical environments.
• Familiarity with explainable AI concepts or techniques and their application in engineering or decision-support contexts.
• Experience working in government, defense, aerospace, or other highly regulated technical domains.
• Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.
• Experience supporting transition of analytical or AI/ML capabilities from development environments into operational workflows.
• Familiarity with hardware, programming languages, scientific computing environments, and resource management tools commonly used for data analysis and modeling to include GPUs, Python / MATLAB / SQL, HPC clusters and SLURM

• Must currently hold an Active Top Secret Clearance

• 100% paid medical benefits - Prioritizing your health and well-being.
• Competitive 401(k) with company match - Investing in your future.
• Opportunity to be a part of forward-thinking team dedicated to innovation.
• A chance to work on cutting-edge projects in a fast-paced, exciting environment.
• Support for professional development and continuous learning.