Intermediate AI Engineer

nLogic is seeking an Intermediate AI Engineer to develop, deploy, and maintain AI-enabled solutions for a mission-focused effort in the Cherry Point, NC area. This onsite role supports machine learning, cloud engineering, and automation in a defense and technology environment, with opportunities to build production-ready AI systems and improve reliability through monitoring and troubleshooting.

What you’ll do

• Develop, test, deploy, and maintain machine learning models and artificial intelligence applications
• Support development of production-ready AI systems
• Build software and data solutions using Python, SQL, and related technologies
• Use machine learning frameworks such as TensorFlow, PyTorch, or similar platforms
• Assist with implementation and maintenance of cloud-based systems and services
• Support migration of applications and infrastructure from on-premises 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
• Contribute to troubleshooting, testing, quality assurance, and technical documentation

Required qualifications

• Active, in-scope Secret security clearance or the ability to obtain and maintain a Secret security clearance required
• 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
• U.S. Citizenship is required

Technologies you may work with

• Python, SQL, TensorFlow, PyTorch
• AWS, Azure, GCP
• Docker, Kubernetes

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

Benefits

• Medical, dental, and vision insurance
• Paid time off
• 401(k) retirement plan
• Employee Stock Ownership Plan (ESOP)
• Professional development support

Role 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
• Security requirement: Active U.S. Secret security clearance required (or ability to obtain and maintain)