Cherry Point, NC

Engineer Jobs in Cherry Point, NC

4 jobs found

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20d ago

Intermediate AI Engineer

nLogic Cherry Point, NC

Cherry Point, NC

20d ago

Full time Ai Ml Artificial Intelligence Automation

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Job Description

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)

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30d ago

Intermediate AI Engineer

Rivet Cherry Point, NC

Cherry Point, NC

30d ago Closed

$126k - $136k/yr Full time Ai Engineer Artificial Intelligence CI/CD

This position is no longer accepting applications (closed Nov 3, 2026).

Job Description

Rivet is hiring an Intermediate AI Engineer to lead AI/ML, software, and cloud efforts at Marine Corps Air Station Cherry Point in Cherry Point, NC (onsite). This role owns the technical direction for AI/ML and cloud systems, helps modernize legacy applications, and supports RMF/ATO processes while working with secure, government-owned infrastructure.

Compensation for this position is USD 126,000 - 136,000 per year, commensurate with skills and experience. Rivet also offers a liberal vacation plan and a matching retirement program.

Responsibilities

Define, document, and lead the overall technical architecture for ALD software, AI/ML, and cloud systems, including coding standards, development methodologies, and QA processes.
Design, develop, train, and continuously improve machine learning models for predictive maintenance, performing advanced data engineering and feature extraction on large-scale datasets.
Architect, deploy, and maintain secure applications and infrastructure on government-owned infrastructure.
Design and implement CI/CD pipelines, containerization, and infrastructure-as-code.
Integrate language models into existing software.
Enforce data privacy and perform vulnerability patching when required in support of RMF.
Ensure AI tools and techniques are authorized under DoD operational security (OPSEC) policy and standards.

Requirements

U.S. citizenship and ability to maintain a Secret security clearance.
Experience designing, building, testing, and deploying machine learning models and AI applications.
Proficiency with Python and SQL, plus ML/AI frameworks such as TensorFlow, PyTorch, or similar.
Experience designing, building, deploying, and maintaining AI systems and cloud environments on AWS, GCP, or Microsoft Azure.
Experience automating cloud, infrastructure, data, and AI processes, including security compliance for AI, cloud, and virtualized environments.
Experience mentoring junior technical staff.
Proficiency in Microsoft Office Suite.
Excellent verbal and written communication skills.

Desired Experience

Experience to meet one of these qualifications is desired:
- Minimum 7 years general experience with an associate’s degree.
- Minimum 8 years general experience with a bachelor’s degree.
- Minimum 6 years general experience with a master’s degree.
In lieu of a degree, candidates may qualify with an additional number of years of relevant experience.

Technologies

Python, SQL, TensorFlow, PyTorch
AWS, GCP, Microsoft Azure
CI/CD pipelines, containerization, infrastructure-as-code
Language models

Physical Requirements

Work may involve sitting or standing for extended periods of time.
Position may require typing and reading from a computer screen.
Must have sufficient mobility, including bending, reaching, and kneeling to complete daily duties.
Walking moderate to long distances may be required depending on parking availability and location.
Possible lifting up to 40 lbs.

Please Note: Rivet Operations Company LLC reserves the right to change or modify job duties and assignments at any time. The job description is not all encompassing, and functions and qualifications may vary depending on business needs.

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1mo ago

Intermediate Artificial Intelligence (AI) Engineer

Targeted Approach Cherry Point, NC

Cherry Point, NC

1mo ago Closed

$110k - $130k/yr Full time Artificial Intelligence Azure Cloud

This position is no longer accepting applications (closed Oct 26, 2026).

Job Description

Intermediate AI Engineer position supporting a Department of Defense program at MCAS Cherry Point in Cherry Point, North Carolina (onsite).

Responsibilities

Design, build, test, evaluate, and deploy machine learning models and AI applications that automate tasks, improve business and operational processes, and solve complex technical problems
Apply data science and software engineering principles to deliver production-ready AI/ML systems that operate reliably in DoD environments
Develop and maintain software, scripts, data pipelines, and AI/ML solutions using Python, SQL, and other applicable programming and query languages
Create AI/ML solutions using frameworks and libraries such as TensorFlow, PyTorch, or comparable technologies
Design, build, configure, and deploy AI applications and supporting infrastructure in cloud environments including AWS, Microsoft Azure, Google Cloud Platform (GCP), or similar platforms
Design, build, configure, and maintain virtualized and cloud-based systems supporting organizational data, applications, AI capabilities, and infrastructure
Support migration and modernization of on-premises applications, data, and systems to cloud-based environments
Implement automation for cloud infrastructure, data pipelines, AI/ML workflows, deployment processes, and recurring technical activities to improve efficiency, scalability, repeatability, and reliability
Support DoD cybersecurity, information assurance, and security compliance requirements for AI, cloud, and virtualized environments
Monitor AI models, applications, systems, and cloud environments to assess performance, scalability, reliability, availability, and operational effectiveness
Troubleshoot issues across AI/ML applications, cloud environments, data pipelines, interfaces, and deployed systems
Perform testing, validation, documentation, configuration management, and quality assurance activities across the AI/ML development and deployment lifecycle
Collaborate with data analysts, software developers, cloud engineers, cybersecurity personnel, Government stakeholders, and other technical SMEs to convert operational requirements into technical solutions
Produce and maintain technical documentation covering system architecture, AI/ML models, cloud configurations, interfaces, deployment procedures, automation, testing, and sustainment

Requirements

Demonstrated experience designing, building, testing, and deploying machine learning models and AI applications
Experience integrating data science and software engineering concepts to build production-ready AI systems
Programming and querying experience with Python and SQL
Experience using AI/ML frameworks such as TensorFlow, PyTorch, or similar tools
Experience designing, building, and deploying AI systems on AWS, Azure, GCP, or comparable cloud platforms
Experience designing, building, and maintaining virtualized and cloud-based environments for enterprise data, applications, and infrastructure
Experience supporting migration of on-premises systems and applications to cloud environments
Experience automating cloud, infrastructure, data, and AI/ML processes
Experience supporting cybersecurity and security compliance requirements for AI, cloud, and virtualized environments
Experience monitoring and optimizing performance for systems, models, applications, and cloud to support scalability, reliability, and operational effectiveness

Preferred Qualifications

MLOps and AI/ML lifecycle management
DevSecOps and CI/CD pipelines
Infrastructure as Code (IaC) and automated cloud provisioning
Docker, Kubernetes, or other containerization/orchestration technologies
Cloud-native data storage, processing, and analytics services
REST APIs and integration of AI/ML capabilities with enterprise applications
Model versioning, validation, monitoring, retraining, and performance optimization
Git or comparable source-code/configuration management tools
DoD cloud environments and cloud security requirements
Risk Management Framework (RMF), Security Technical Implementation Guides (STIGs), or other DoD cybersecurity requirements
Experience working within DoD, Department of the Navy, or U.S. Marine Corps technical environments
Experience supporting AI/ML capabilities through development, testing, deployment, operation, and sustainment

Required Education and Experience

Bachelor's degree + 7 years of general experience
Relevant degree areas may include Artificial Intelligence, Machine Learning, Computer Science, Data Science, Software Engineering, Computer Engineering, Information Technology, Information Systems, or another related technical discipline
Experience equivalencies: Associate's degree (8 years), Master's degree (6 years), Ph.D. (4 years), with degree options mapped to general experience requirements

Technologies

Python
SQL
TensorFlow
PyTorch
Amazon Web Services (AWS)
Microsoft Azure
Google Cloud Platform (GCP)

Compensation

$110,000.00 - $130,000.00 per year

Security Clearance

Secret (Required)

Work Location

In person
Cherry Point, NC 28533 (Required)

Benefits

401(k) matching
Dental insurance
Health insurance
Life insurance
Paid time off
Referral program
Vision insurance

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1mo ago

Intermediate AI Engineer

Jahn Corporation Cherry Point, NC

Cherry Point, NC

1mo ago Closed

$115k+/yr Full time Ai/ml Models Artificial Intelligence Data Analysis

This position is no longer accepting applications (closed Oct 23, 2026).

Job Description

Jahn Corporation is seeking an Intermediate AI Engineer for onsite work in Cherry Point, NC, focused on production ML and AI tools for USMC aviation logistics.

Responsibilities

Support the development of AI/ML models and tools for aircraft readiness applications.
Design, develop, train, and validate machine learning models for predictive maintenance using historical aviation data.
Conduct data cleansing, feature extraction, and feature engineering on large-scale datasets to enable model performance.
Build and maintain machine learning pipelines for model training, evaluation, deployment, and ongoing monitoring in production environments.
Create AI-driven decision support tools intended to optimize aircraft readiness.
Assess emerging AI/ML techniques and frameworks to determine suitability for USMC aviation logistics use cases.

Requirements

12+ years of specific experience (college degree may allow fewer years).
Experience designing, building, testing, and deploying machine learning models and artificial intelligence applications to automate tasks and solve complex problems.
Ability to connect data science and software engineering concepts to deliver production-ready AI systems.
Programming and query language experience, including Python and SQL.
Experience with machine learning/AI frameworks such as TensorFlow, PyTorch, or similar tooling.
Experience designing, building, and deploying AI systems and cloud environments using AWS, GCP, Microsoft Azure, or similar platforms.
Experience designing, building, and maintaining virtualized and cloud-based systems for organizational data, applications, and infrastructure.
Experience supporting migration from on-premises environments to cloud-based environments.
Experience automating cloud, infrastructure, data, and AI processes to improve efficiency, scalability, and reliability.
Experience supporting security compliance requirements for AI, cloud, and virtualized environments.
Ability to monitor system, model, application, and cloud environment performance to ensure scalability, reliability, and operational effectiveness.

Technologies

Python
SQL
TensorFlow
PyTorch
Amazon Web Services (AWS)
Google Cloud Platform (GCP)
Microsoft Azure

Benefits

Excellent benefits

Security Clearance

Top Secret (Preferred)

Job Details

Location: Cherry Point, NC (onsite, in person)
Job type: Full-time
Pay: From $115,000.00 per year
Salary: USD 115,000 per yearly

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Engineer Jobs in Cherry Point, NC

Intermediate AI Engineer

Intermediate AI Engineer

Intermediate Artificial Intelligence (AI) Engineer

Intermediate AI Engineer

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