nLogic is seeking an Intermediate AI Engineer to build and run AI-enabled solutions for a mission-focused effort in the Cherry Point area.

Develop, test, deploy, and maintain machine learning models and AI applications
Contribute to production-ready AI system development
Build software and data solutions using Python, SQL, and related technologies
Work with machine learning frameworks such as 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 to cloud environments
Automate AI, data, and cloud 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

Active, in-scope Secret security clearance or ability to obtain and maintain a Secret security clearance
Education and experience equivalencies:
- Bachelor’s degree in a STEM-related field and 8 years of relevant experience
- Master’s degree in a STEM-related field and 6 years of relevant experience
- PhD in a STEM-related field and 4 years of relevant experience
- Associate degree and 7 years of relevant experience
- 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
Programming experience 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 required
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

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

Intermediate AI Engineer

Job Description