Senior AI/ML Engineer

Redhorse Corporation

. Lead CBM+ AI/ML initiatives from concept through production deployment .

Posted 10/30/2026full-timeRemote • United StatesSenior💰 $180,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading AI/ML initiatives, architecting scalable data pipelines, and developing machine learning models for operational efficiency. Proficient in data analysis, visualization, and integrating models into production workflows while providing technical leadership and mentorship.

Highest-signal resume keywords

Active Secret Security ClearanceMaster’s Degree in STEM Field5+ Years Experience in NLP and Data LabelingProficiency with Databricks and PySparkExperience with Streamlit or Qlik Sense

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningGenerative AIStatistical ModelingData VisualizationETL/ELTFeature EngineeringPredictive ModelingData AssessmentKnowledge Graph Development

Soft Skills

Strong Interpersonal SkillsTechnical LeadershipMentoringCommunication with Non-Technical Stakeholders

Tools & Technologies

DatabricksPySparkSQLStreamlitQlik SenseJiraConfluenceLucidchartMicrosoft Office Suite

Industry Keywords

CBM+ InitiativesAircraft SustainmentMaintenance OptimizationData Governance FrameworksMLOpsModel Performance Monitoring

Tech Stack

Tools & technologies

CloudETLPySparkSQL

About the role

Key responsibilities & impact

Lead CBM+ AI/ML initiatives from concept through production deployment
Architect and oversee scalable data pipelines, including ingestion, ETL/ELT, feature engineering, validation, and production workflow sustainment
Design, develop, and optimize machine learning, deep learning, and generative AI models for operational problems and predictive maintenance
Perform exploratory data analysis, statistical modeling, and data visualization to identify trends, correlations, risks, and actionable insights
Build, maintain, and extend knowledge graph capabilities for semantic reasoning, data integration, and AI-enabled decision support
Provide technical leadership to multifunctional engineering teams and mentor junior engineers
Guide best practices for model development, MLOps, testing, documentation, and secure deployment
Collaborate with software, data, cloud, and product teams to integrate models into production applications, APIs, and operational workflows
Establish monitoring for data quality, model performance, drift, bias, and degradation, and lead mitigation efforts
Support CBM+ initiatives improving aircraft sustainment and maintenance/logistics optimization for the USAF

Requirements

What you’ll need

Active Secret security clearance is mandatory; applicants must currently possess an active Secret clearance
Master’s degree in a STEM field or proven equivalent professional experience
Minimum of 5 years of experience incorporating applied NLP, data labeling, and entity or keyword extraction
Proficiency with Databricks, PySpark, SQL, data governance frameworks, and technical documentation standards
Deep understanding and practical application of statistical distributions for data assessment, data analysis, and predictive modeling
Experience developing dashboards or data end-products using Streamlit, Qlik Sense, or similar platforms
Experience with Jira, Confluence, Lucidchart, and Microsoft Office Suite (Word, Excel, PowerPoint)
Strong interpersonal skills and ability to translate complex technical findings for executive and non-technical stakeholders
Ability to travel minimally as needed for government customers and project stakeholders

Benefits

Comp & perks

Comprehensive benefits programs
Potential performance-based or other incentive compensation, where applicable
Reasonable accommodations for qualified individuals with disabilities or disabled veterans