Senior Ai/ML Engineer

Redhorse Corporation; United States; Remote; USD 180,000 - 200,000; Full time

Job summary

Redhorse Corporation is seeking an AI/ML Engineer to advance CBM+ initiatives for USAF, bridging cutting-edge models to production systems that enhance fleet readiness. You will lead cross-functional teams in an Agile environment, design scalable data pipelines, develop ML models, and implement MLOps practices with emphasis on data quality, model monitoring, and secure deployment.

This role requires an active Secret clearance and a strong background in NLP, data engineering, and visualization

Qualifications

• Master’s degree in STEM field or proven equivalent professional experience.
• Hands-on NLP, data labeling, and entity/keyword extraction.
• Experience with Databricks, PySpark, SQL and data governance standards.

Responsibilities

• Lead CBM+ AI/ML initiatives from concept through production deployment in line with mission outcomes.
• Architect and oversee scalable data pipelines including data ingestion, ETL/ELT, feature engineering, validation and production data workflows.
• Design, develop and optimize ML, DL and Generative AI models to improve predictive maintenance capabilities.

Skills

NLP experience

MLOps

Data analytics

Communication

Education

Master's degree in STEM

Tools

Databricks

PySpark

SQL

Streamlit

Qlik Sense

Jira

Confluence

Lucidchart

MS Office

Job description

About the Organization

Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets.

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.

Required Experience/Clearance

• An active Secret security clearance is mandatory for this position. Applicants must currently possess an active Secret clearance to be considered. Candidates without an active clearance will not be considered.
• Education & Experience: Master’s degree in a STEM (Science, Technology, Engineering, or Mathematics) field or proven equivalent professional experience.
• Natural Language Processing (NLP): Minimum of 5 years of experience incorporating applied NLP, data labeling, and entity or keyword extraction.
• Analytics & Data Engineering: Proven proficiency with Databricks, PySpark, SQL, data governance frameworks, and technical documentation standards.
• Statistical Foundations: Deep understanding and practical application of statistical distributions for data assessment, data analysis, and predictive modeling.
• Visualization & Data Products: Experience developing dashboard or data end-products utilizing tools such as Streamlit, Qlik Sense, or similar platforms.
• Tools & Methodologies: Experience using project management and productivity platforms including Jira, Confluence, Lucidchart, and Microsoft Office Suite (Word, Excel, PowerPoint).
• Communication & Initiative: Demonstrated self-starter with strong interpersonal skills, with the proven ability to translate complex technical findings for executive and non-technical stakeholders.
• Travel: Ability to travel minimally as needed to engage with government customers and project stakeholders.

Desired Experience

We encourage all candidates who meet the basic requirements to apply, even if you do not have any of the following experience:

• Ph.D. in a STEM field, with a preference for Data Science, Data Analytics, or Computer Science.
• Advanced expertise applying artificial intelligence and machine learning (AI/ML) to predictive maintenance, condition-based maintenance, or defense logistics challenges.
• Direct experience developing sensor-based failure prediction models and equipment health indicators.
• Practical experience conducting Monte Carlo simulations and calculating statistical confidence intervals.
• Demonstrated expertise in end-to-end data pipeline engineering, including customer-facing UI/UX integration.
• Prior experience supporting defense aviation data environments or DoD enterprise systems.

$180,000 - $200,000 a year

The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable.

Redhorse Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at [e-mail]

Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs. This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.