[Remote] AI/ML Engineer - Clearance Required
Note: The job is a remote job and is open to candidates in USA. LMI is a digital solutions provider focused on accelerating government impact through innovation. They are seeking an experienced AI/ML Engineer to support the U.S. Army’s Holistic Health & Fitness initiative by developing and operationalizing analytic models and machine learning approaches.
Responsibilities
- Develop and implement statistical and machine learning models supporting readiness assessment, performance analysis, and injury-risk awareness
- Apply appropriate analytic methods based on data characteristics, scientific guidance, and Government priorities
- Ensure analytic approaches are transparent, interpretable, and suitable for operational decision support
- Support validation, testing, and refinement of analytic models under Government and senior scientific direction
- Assess model performance, limitations, assumptions, and potential bias
- Collaborate with epidemiologists and research psychologists to ensure analytic outputs align with scientific intent
- Work with data engineers to support feature development, data preparation, and analytic dataset construction
- Assist in identifying data quality issues that may impact model performance
- Ensure analytic inputs align with approved data definitions and governance standards
- Collaborate with software teams to support integration of analytic outputs into dashboards, reports, and user-facing decision-support tools
- Support development of repeatable analytic workflows and documentation
- Assist in troubleshooting analytic issues in coordination with data and software teams
- Contribute to documentation of analytic methods, assumptions, limitations, and results
- Support preparation of analytic summaries, briefings, and materials for Government stakeholders
- Clearly communicate analytic findings in a manner appropriate for non-technical audiences
Skills
- Bachelor's degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related field
- Demonstrated experience applying statistical analysis or machine learning techniques to real-world data problems
- Familiarity with data preparation, feature engineering, and model evaluation concepts
- Experience working with structured and semi-structured data
- Ability to collaborate effectively within multidisciplinary teams spanning analytics, research, and software development
- Strong analytical reasoning and communication skills
- Ability to obtain and maintain a Secret security clearance
- Experience supporting applied analytics in health, human performance, readiness, or research-driven environments
- Familiarity with integrating analytic outputs into dashboards or operational systems
- Experience working alongside data engineering or software development teams
- Prior experience supporting DoW or federal customers
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