All Points Logistics · 1 week ago
1994 Cleared AI/ML Specialist (Top Secret)
All Points Logistics is seeking a Top Secret Cleared Artificial Intelligence/Machine Learning (AI/ML) Specialist to support missile defense mission areas. The role involves collaborating with systems engineers and software developers to implement AI/ML capabilities, develop datasets, and ensure compliance with security requirements.
Information Technology
Responsibilities
Support the design, guidance, and implementation of AI/ML-enabled capabilities for missile defense mission areas
Collaborate with systems engineers, domain experts, and software developers to identify appropriate problem formulations and opportunities for the application of AI/ML techniques
Develop and curate training and evaluation datasets from diverse sources
Define data management and labeling strategies
Design scalable training, testing, and validation infrastructure consistent with program constraints and security requirements
Guide the selection, development, and integration of AI/ML models into existing analytical, modeling, and simulation frameworks
Support model evaluation, uncertainty characterization, robustness assessments, and lifecycle considerations such as retraining, configuration management, and traceability
Contribute to the establishment of best practices, standards, and governance for AI/ML usage
Provide guidance and subject matter expertise to the Digital Ecosystem and Platforms team for the SE&I Team's AI adoption strategy
Identify, evaluate, and integrate Large Language Model(s) and use case specific AI tooling such as SysML modeling and Integrated Development Environment (IDE) plug-ins
Qualification
Required
US CITIZENSHIP REQUIRED
ACTIVE US DOD TOP SECRET CLEARANCE REQUIRED
Bachelor's degree in Engineering, Computer Science, Applied Mathematics, Physics, or related discipline; Master's degree or PhD strongly preferred
10-20 Years of experience
Full US Citizenship
Active, current, and fully adjudicated US Department of Defense Top Secret Clearance required
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
Preferred
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 operationally relevant workflows
Familiarity with hardware, programming languages, scientific computing environments, and resource management tools commonly used for data analysis and modeling to include graphical processing units (GPUs), Python / MATLAB / SQL, High Performance Computing (HPC) clusters and SLURM
Benefits
Positions with All Points are Full-time, Direct, and we offer a full benefit package.
Company
All Points Logistics
All Points Logistics is an information technology company providing program management and logistics services.
Funding
Current Stage
Growth StageRecent News
EIN Presswire
2025-10-31
2025-09-24
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