AI/ML Engineer for Condition-Based Maintenance Plus (CBM+)
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Job Description
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About the Role
Redhorse transforms the way government uses data and technology. To support this mission, we are seeking an Artificial Intelligence (AI)/Machine Learning (ML) Engineer to support Condition-Based Maintenance Plus (CBM+) initiatives that improve aircraft sustainment and optimize maintenance and logistics for the United States Air Force (USAF).
In this role, you will serve as a key architect in the CBM+ ecosystem, bridging the gap between cutting-edge development and operational deployment. Working within cross-functional teams in an Agile environment, you will translate complex predictive models into production-grade systems that directly enhance fleet readiness and sustainment efficiency. This is a unique opportunity to operate at the intersection of aerospace logistics and advanced MLOps, delivering high-impact solutions for our nation's defense.
Key Responsibilities
- Lead CBM+ AI/ML initiatives from concept through production deployment, ensuring technical solutions align with mission outcomes, business objectives, and enterprise architecture standards.
- Architect and oversee scalable data pipelines, including data ingestion, ETL/ELT processing, feature engineering, data validation, and sustainment of production data workflows.
- Design, develop, and optimize machine learning, deep learning, and generative AI models to solve complex operational problems and improve predictive maintenance capabilities.
- Perform advanced exploratory data analysis, statistical modeling, and data visualization to uncover trends, correlations, risk indicators, and actionable insights that guide product and mission decisions.
- Build, maintain, and extend knowledge graph capabilities to support semantic reasoning, data integration, and AI-enabled decision support.
- Provide technical leadership to multi-functional engineering teams, mentoring junior engineers and guiding best practices for model development, MLOps, testing, documentation, and secure deployment.
- Collaborate with software, data, cloud, and product teams to integrate trained models into production applications, APIs, and operational workflows.
- Establish monitoring strategies for data quality, model performance, drift, bias, and degradation, and lead mitigation efforts to maintain reliable AI/ML system performance.
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Redhorse Corporation
View Company ProfileRedhorse Corporation (operating under redhorsecorp.com, legally Redhorse Corporation) is the premier, enterprise-grade digital transformation, national security technology services, and tactical data engineering pioneer engineered to act as the definitive, high-velocity cloud systems modernization, military artificial intelligence integration, and critical infrastructure resilience layer for the U.S. Department of Defense (DoD), federal civilian agencies, intelligence communities, and global defense innovators. Founded in 2008 by visionary founder and USMC (Ret.) Col. David Inman—who named the firm in honor of the resilient U.S. Air Force REDHORSE engineering squadrons—the enterprise completely eliminates the severe systemic friction of modern government digital transformation, where federal agencies battle massive data fragmentation, legacy system bloat, and highly delayed intelligence analysis pipelines, by deploying agile, high-performance analytical frameworks. Moving far beyond traditional, slow-moving federal advisory firms or generic IT staff-augmentation agencies, Redhorse natively unifies multi-source data fusion, scalable predictive intelligence, cloud-agnostic platform development, and advanced cybersecurity operations into a single high-availability national security software and consulting ecosystem. Directed by Chief Executive Officer Noah Klemm, the company delivers mission-critical execution across high-stakes domains, securing major institutional positions including the elite Department of Defense Joint Artificial Intelligence Center (JAIC) and the massive AI Talent 2.0 Basic Ordering Agreement. Highlighting its category-defining market momentum, the high-growth government-tech powerhouse secured a transformative growth capital investment from defense sector specialist Blue Delta Capital Partners, accelerating its capabilities through the strategic acquisitions of Allied Associates International (A2I) and The Mannakee Group, alongside the launch of Redhorse International Ltd in the United Kingdom. Under the hood, its technology core utilizes advanced machine-learning pipelines, high-fidelity GIS and environmental telemetry modeling, and secure, military-grade data routing systems designed to automate real-time battlefield readiness, predictive asset maintenance, and critical utility sustainability with absolute national security clearance and operational compliance. What sets Redhorse Corporation apart is its uncompromising dedication to replacing fragmented, legacy government IT infrastructure with absolute data predictability, mission-critical execution agility, and field-ready analytical insight; by bridging the gap between performance-intensive relational software engineering and the immediate, multi-domain defense priorities of the nation, the enterprise remains the definitive cornerstone of modern algorithmic GovTech and global national security transformation.
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