Senior AI/ML Engineer (Aerospace)

Location: Remote; minimal travel required to engage with government customers and project stakeholders

Company

hirify.global transforms how government uses data and technology, supporting national security and United States Air Force aircraft sustainment initiatives.

What you will do

• Lead Condition-Based Maintenance Plus (CBM+) AI/ML initiatives from concept through production deployment.
• Architect scalable data pipelines covering ingestion, ETL/ELT, feature engineering, validation, and production workflow sustainment.
• Design, develop, and optimize machine learning, deep learning, generative AI, and predictive maintenance models.
• Perform exploratory data analysis, statistical modeling, visualization, and insight generation for mission and product decisions.
• Build and extend knowledge graphs for semantic reasoning, data integration, and AI-enabled decision support.
• Lead multidisciplinary engineering teams, integrate models into applications and APIs, and monitor data quality, model performance, drift, bias, and degradation.

Requirements

• An active Secret security clearance is mandatory; candidates without an active clearance will not be considered.
• Master’s degree in a STEM field or equivalent professional experience.
• At least 5 years of experience with 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, analysis, and predictive modeling.
• Experience developing dashboards or data end-products with Streamlit, Qlik Sense, or similar tools.
• Experience with Jira, Confluence, Lucidchart, and Microsoft Office Suite, including Word, Excel, and PowerPoint.
• Strong interpersonal and communication skills, initiative, and the ability to explain complex technical findings to executive and non-technical stakeholders.
• Ability to travel minimally as needed for government customers and project stakeholders.

Nice to have

• Ph.D. in a STEM field, preferably Data Science, Data Analytics, or Computer Science.
• Advanced AI/ML experience in predictive maintenance, condition-based maintenance, or defense logistics.
• Experience developing sensor-based failure prediction models and equipment health indicators.
• Experience with Monte Carlo simulations and statistical confidence intervals.
• End-to-end data pipeline engineering experience, including customer-facing UI/UX integration.
• Experience supporting defense aviation data environments or Department of Defense enterprise systems.

Culture & Benefits

• Work in cross-functional teams using Agile methods.
• Collaborate with software, data, cloud, and product teams on national security and aircraft sustainment solutions.
• Provide technical leadership and mentorship to junior engineers.
• Work on secure, production-grade AI/ML systems supporting government operations.