AI/ML Engineer - Clearance Required
Logistics Management Institute2 months ago
Remote, United StatesSenior
Base Salary
$122k - $211k/yr
Responsibilities
- Design, implement, test, optimize, and validate machine-learning algorithms and predictive models for forecasting, rate prediction, resource planning, and real-time decision support.
- Develop NLP and generative-AI solutions, including large language models and retrieval-augmented generation capabilities.
- Engineer reusable model services, APIs, containers, and software components for secure web applications, dashboards, and mission data products.
- Design scalable architectures for batch and real-time inference, model serving, monitoring, application integration, and production support.
- Collaborate with data scientists and data engineers on data structures, features, pipelines, interfaces, validation, training, evaluation, deployment, and sustainment.
- Implement MLOps and DevSecOps practices covering source control, automated testing, continuous integration and delivery, model versioning, deployment, monitoring, rollback, and sustainment.
- Apply responsible and secure AI/ML practices involving access control, data protection, governance, explainability, evaluation, auditability, and risk management.
- Produce and maintain technical documentation, user guides, training materials, demonstrations, instructional videos, and knowledge-transfer materials.
- Provide rapid-response engineering and product-level staff augmentation as mission priorities and operational requirements change.
Requirements
- Active Secret security clearance with the ability to obtain a Top Secret clearance.
- Bachelor’s degree in computer science, artificial intelligence, machine learning, data science, software engineering, mathematics, engineering, or a related technical field.
- Five or more years of professional experience designing, developing, deploying, and sustaining production machine-learning models or AI-enabled software capabilities.
- Advanced Python proficiency and practical experience with modern machine-learning frameworks and libraries such as PyTorch, TensorFlow, scikit-learn, or XGBoost.
- Experience developing and validating predictive models, including time-series, regression, ensemble, or comparable forecasting methods.
- Experience operationalizing models through APIs, services, containers, automated testing, version control, continuous integration and delivery, model registries, monitoring, and repeatable deployment.
- Working knowledge of SQL, data structures, feature pipelines, data quality controls, and secure integration with relational, non-relational, object-storage, or analytical data platforms.
- Experience designing scalable batch or real-time inference, model-serving, application-integration, monitoring, and production-support architectures.
- Knowledge of responsible and secure AI/ML engineering practices, including access control, data protection, governance, explainability, evaluation, auditability, and risk management.
- Experience producing technical and knowledge-transfer documentation for technical and non-technical stakeholders, plus strong written and verbal communication skills.
- Ability to collaborate across data science, data engineering, software, cybersecurity, governance, and operational teams and independently manage multiple priorities.
- Preferred qualifications include a master’s degree, experience with AWS GovCloud or Azure Government, Kubernetes, infrastructure as code, or DevSecOps, and prior military or U.S. Special Operations Forces support experience.
Benefits
- Remote position in the United States.
- The role supports a SOCOM mission partner and requires an active Secret clearance with the ability to obtain Top Secret clearance.
Tech Stack
Categories
About Logistics Management Institute
Logistics Management Institute (LMI) provides consulting, software development, and analytics services to U.S. federal agencies, with strengths in supply chain, digital engineering, AI, and modeling and simulation. It builds and sustains government systems—such as Army acquisition and contract-writing platforms—while delivering data-driven modernization and program support across defense, space, healthcare, and energy. Founded in 1961 and headquartered in Tysons, Virginia, LMI operates as a privately held contractor to the public sector.