AI/ML Engineer - Remote

About The Company

LMI is a forward-thinking digital solutions provider dedicated to accelerating government impact through innovation and rapid deployment of technology. The company invests proactively in developing technology and prototypes to meet emerging needs, delivering commercial-grade platforms and mission-ready artificial intelligence solutions to federal agencies at an expedited pace. Leveraging extensive experience in federal deployment, strategic partnerships, and a focus on agility, LMI enhances outcomes across sectors including defense, space, healthcare, and energy. The organization emphasizes collaboration, security, and best practices in AI/ML engineering to support complex mission objectives and operational excellence.

About The Role

The AI/ML Engineer position at LMI involves supporting a Special Operations Command (SOCOM) mission partner by developing, implementing, and maintaining advanced machine learning and artificial intelligence capabilities. This role requires designing scalable models for predictive forecasting, natural language processing, generative AI, and real-time decision support. The engineer will work within a cross-functional data science team to translate validated models into reliable operational tools, ensuring integration within secure web-based applications and enterprise workflows. The position demands expertise in AI/ML model development, deployment, and sustainment, along with a strong understanding of secure engineering practices, governance, and documentation. The role offers an opportunity to contribute to mission-critical solutions that automate and augment human decision-making in a secure environment, supporting national security objectives.

Qualifications

• 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 in designing, developing, deploying, and maintaining machine learning models or AI-enabled software in production environments
• Proficiency in Python and experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, or similar
• Experience developing and validating predictive models, including time-series, regression, ensemble, or forecasting methods
• Operational experience with APIs, containers, automated testing, version control, CI/CD pipelines, and model monitoring
• Knowledge of SQL, data structures, feature pipelines, and secure integration with various data platforms
• Understanding of scalable architectures for batch and real-time inference, model serving, and production support
• Familiarity with responsible AI/ML practices, including governance, explainability, data protection, and risk management
• Ability to produce comprehensive technical documentation and collaborate effectively across multidisciplinary teams

Responsibilities

• Design, develop, test, and optimize machine learning algorithms for predictive analytics, resource planning, and decision support
• Create natural language processing and generative AI solutions tailored to operational and intelligence use cases
• Engineer reusable model services, APIs, containers, and software components for seamless integration into secure web applications
• Develop scalable architectures supporting batch and real-time inference, model deployment, monitoring, and support
• Integrate predictive models into existing enterprise workflows and applications, ensuring security and reliability
• Collaborate with data scientists and engineers to establish data pipelines, features, validation, and deployment processes
• Conduct performance testing, hyperparameter tuning, error analysis, and drift detection to ensure model robustness
• Implement MLOps and DevSecOps practices for versioning, automation, continuous integration, deployment, and monitoring
• Apply secure AI/ML engineering principles, including governance, explainability, and risk assessment
• Support enterprise-wide AI/ML adoption, governance, and sustainment efforts across multiple teams and applications
• Develop technical documentation, user guides, training materials, and knowledge transfer products for operational continuity
• Provide rapid-response engineering support and staff augmentation to adapt to evolving mission needs

Benefits

• Competitive salary range between $122,000 and $211,000, commensurate with experience and qualifications
• Opportunities for professional growth and development in advanced AI/ML fields
• Engagement in mission-critical projects supporting national security and defense operations
• Flexible remote work environment within the US
• Access to cutting-edge technology and resources for AI/ML research and deployment
• Collaborative and innovative work culture focused on impact and excellence

Equal Opportunity

LMI is an Equal Opportunity Employer. We are committed to fostering an inclusive environment where all individuals are treated with respect and fairness. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship, genetic information, or any other characteristic protected by law. We promote diversity and equal opportunity in all our employment practices. If you require assistance during the application process due to a disability, please contact us for support.