redhorsecorp - Senior Ai/ML Engineer

• 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. • 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. • 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.