AI/ML Engineer - Clearance Required

• Design, implement, test, and optimize machine learning algorithms for predictive forecasting, rate prediction, resource planning, and real-time decision support.
• Develop and refine supervised, unsupervised, time-series, regression, ensemble, and other appropriate models to meet stringent accuracy, reliability, explainability, latency, and efficiency requirements.
• Develop natural language processing and generative AI solutions, including large language models and retrieval-augmented generation capabilities tailored to approved business, operational, and intelligence use cases.
• Engineer reusable model services, application programming interfaces, containers, and software components that integrate seamlessly into secure web-based applications, dashboards, and other mission data products.
• Design scalable and reliable architectures for batch and real-time inference, model serving, monitoring, and application support across development, test, and production environments.
• Integrate predictive models into existing web-based applications and enterprise workflows while ensuring compatibility, reliability, security, and seamless user functionality.
• Collaborate with data scientists and data engineers to establish compatible data structures, features, pipelines, interfaces, and validation methods for model training, evaluation, deployment, and sustainment.
• Conduct performance testing, hyperparameter tuning, error analysis, back-testing, drift detection, and model monitoring; document assumptions, limitations, risks, and opportunities for continued improvement.
• Implement MLOps and DevSecOps practices for source control, automated testing, continuous integration and delivery, model versioning, deployment, monitoring, rollback, and repeatable sustainment.
• Apply responsible and secure AI/ML engineering practices, including access control, data protection, model governance, explainability, evaluation, auditability, and risk management.
• Support enterprise synchronization, integration, governance, sustainment, and adoption of AI/ML capabilities across multiple mission teams, stakeholder organizations, applications, and products.
• Develop projects that automate or augment human cognitive workload and respond rapidly to emerging operational requirements and changes in the mission environment.
• Produce and maintain technical documentation covering algorithms, system architecture, interfaces, security, testing, deployment, operations, and integration processes.
• Develop user guides, training materials, demonstrations, instructional videos, and knowledge-transfer products sufficient for a qualified practitioner to assume future operation and sustainment of the capability.
• Provide rapid-response engineering and product-level staff augmentation based on changes in mission priorities and the operational environment.

• 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 machine learning models or AI-enabled software capabilities in production environments.
• Advanced proficiency with Python and practical experience with modern machine learning frameworks and libraries such as PyTorch, TensorFlow, scikit-learn, XGBoost, or comparable technologies.
• Demonstrated experience developing and validating predictive models, including time-series, regression, ensemble, or comparable forecasting methods, against defined accuracy and performance requirements.
• Experience operationalizing models through application programming interfaces, services, containers, automated testing, version control, continuous integration and delivery, model registries, monitoring, and repeatable deployment processes.
• 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 developing scalable architectures for batch or real-time inference, model serving, application integration, monitoring, and production support.
• Knowledge of responsible and secure AI/ML engineering practices, including access control, data protection, model governance, explainability, evaluation, auditability, and risk management.
• Experience producing clear algorithm, architecture, interface, test, deployment, operational, and knowledge-transfer documentation for technical and non-technical stakeholders.
• Strong written and verbal communication skills and the ability to collaborate across data science, data engineering, software, cybersecurity, governance, and operational teams.
• Ability to independently manage multiple priorities and deliver reliable production capabilities in a fast-paced, mission-focused environment., * Master’s degree in computer science, artificial intelligence, machine learning, data science, software engineering, mathematics, engineering, or a related technical field.
• Experience with secure government cloud environments such as AWS GovCloud or Azure Government and with Kubernetes, infrastructure as code, DevSecOps, or comparable production delivery practices.
• Prior military service or direct professional experience supporting U.S. Special Operations Forces.

Target Competencies

• Mission Focus
• Technical Excellence
• Systems Engineering
• Product Ownership
• Collaboration and Stakeholder Engagement
• Clear Communication
• Adaptability and Continuous Learning

LMI is seeking an Artificial Intelligence and Machine Learning (AI/ML) Engineer to support a Special Operations Command (SOCOM) mission partner with production machine learning, predictive forecasting, natural language processing, generative AI, and real-time decision-support capabilities. The AI/ML Engineer will design, implement, optimize, integrate, and sustain scalable AI/ML solutions within secure web-based applications and enterprise workflows. This position will work as part of a cross-functional data science product team to translate validated models into reliable operational capabilities while advancing reusable engineering patterns, governance, security, documentation, and enterprise AI/ML best practices.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and achieve mission success.