Intermediate AI Engineer

Responsibilities

• Develop, test, deploy, and maintain machine learning models and artificial intelligence applications
• Support the development of production-ready AI systems
• Develop software and data solutions using Python, SQL, and related technologies
• Utilize machine learning frameworks including TensorFlow, PyTorch, or similar platforms
• Support implementation and maintenance of cloud-based systems and services
• Assist with migration of applications and infrastructure from on-premises environments to cloud platforms
• Automate AI, data, and cloud-related workflows.Support security compliance initiatives across AI and cloud environments
• Monitor model performance, system health, and cloud service reliability
• Support troubleshooting, testing, quality assurance, and technical documentation efforts.

Required Qualifications

• Active, in-scope Secret security clearance or the ability to obtain and maintain a Secret security clearance required.
• Education and Experience
  • Bachelor's degree in a STEM-related field and 8 years of relevant experience; or
  • Master's degree in a STEM-related field and 6 years of relevant experience; or
  • PhD in a STEM-related field and 4 years of relevant experience; or
  • Associate degree and 7 years of relevant experience; or
  • High school diploma and 12 years of relevant experience.
• Experience developing and deploying machine learning models and AI applications
• Experience bridging software engineering and data science concepts
• Experience programming with Python and SQL
• Experience using machine learning frameworks such as TensorFlow, PyTorch, or equivalent technologies
• Experience supporting cloud platforms including AWS, Azure, GCP, or similar environments
• Experience supporting virtualized and cloud-based systems.Experience supporting cloud migration initiatives
• Experience automating infrastructure, AI, and data workflows
• Experience supporting security compliance requirements
• Experience monitoring AI systems and cloud performance.

Preferred Qualifications

• Experience deploying machine learning models into production environments
• Experience supporting MLOps or AI operationalization efforts
• Experience with containerization technologies such as Docker or Kubernetes
• Cloud platform certifications.Experience supporting Department of Defense or Federal Government programs

Position Details

• Work Model: Full-Time, Onsite in Cherry Point, NC
• Travel: Occasional travel may be required in support of customer requirements
• Work Hours: Standard work hours
• U.S. Citizenship is required
• Active U.S. Secret security clearance required (or ability to obtain and maintain)

Why nLogic

At nLogic, we support mission-focused defense and space efforts that have real-world impact. Our teams work collaboratively alongside government and industry partners to deliver high-quality, mission-focused solutions.

As a 100% employee-owned company (ESOP), our employees directly share in the success of the organization, creating a culture of accountability, ownership, and long-term investment in our work.

We offer a stable environment with opportunities to develop new skills, take on meaningful responsibilities, and contribute to efforts that support national security and advanced technologies.

Summary of Benefits

nLogic offers a comprehensive benefits package including medical, dental, and vision insurance; paid time off; 401(k) retirement plan; Employee Stock Ownership Plan (ESOP); and professional development support.

How to Apply

Qualified candidates should submit their application through our online portal to be considered for this opportunity.

Equal Opportunity Employer

nLogic is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.