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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