Cherry Point, NC

Data Jobs in Cherry Point, NC

4 jobs found

Include remote jobs

Today

Intermediate AI Engineer

Rivet Cherry Point, NC

Cherry Point, NC

Today

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

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Job Description

Rivet is seeking an Intermediate AI Engineer to lead AI/ML, software, and cloud technical efforts at Marine Corps Air Station Cherry Point, North Carolina.

Responsibilities

Define, document, and lead the overall technical architecture for ALD software, AI/ML, and cloud systems
Establish and enforce coding standards, development methodologies, and QA processes
Design, develop, train, and continuously improve machine learning models for predictive maintenance
Perform 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 to support RMF
Ensure AI tools and techniques are authorized under DoD 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 programming and query languages: Python and SQL
Experience with 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
Support security compliance for AI, cloud, and virtualized environments
Experience mentoring junior technical staff
Proficiency in Microsoft Office Suite
Excellent verbal and written communication skills

Technologies

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

Salary

USD 126,000 - 136,000 per year

Benefits

Liberal vacation plan
Matching retirement program
Competitive salaries commensurate with skills and experience

Location and Work Setting

Cherry Point, NC (onsite)

Required Qualifications

Experience to meet one of these qualifications is desired:
7 years general experience with an associate’s degree
8 years general experience with a bachelor’s degree
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

Physical Requirements

Work may involve sitting or standing for extended periods
Position may require typing and reading from a computer screen
Must have sufficient mobility, including bending, reaching, and kneeling, to complete daily duties
Possibility of walking moderate to long distance depending on parking and work 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. This job description is not all encompassing. Position functions and qualifications may vary depending on business needs.

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Today

Senior Data Analyst

Rivet Cherry Point, NC

Cherry Point, NC

Today

$80k - $90k/yr Full time Senior Data Analysis Data Analytics

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Job Description

Rivet is hiring a Senior Data Analyst to support Marine Corps Air Station Cherry Point in North Carolina. In this onsite role, you will turn large aviation logistics and maintenance datasets into actionable insights, while helping establish secure data collection, storage, and reporting processes.

You will also lead analytics work across visualization, quality assurance, and ongoing reporting automation, ensuring results are communicated clearly to both technical and non-technical audiences.

What you’ll do

Create visualizations that clearly communicate project progress, findings, risks, and outcomes
Detect patterns, trends, correlations, and anomalies using strong pattern and anomaly-detection skills
Use statistical software packages and analytical tools to perform analysis and develop insights
Compile and present complex information to audiences with varying technical backgrounds
Establish and maintain data collection and storage systems, programs, and procedures that support analytic systems
Build and optimize queries, scripts, and automated workflows to streamline recurring reporting and analysis
Ensure data handling, storage, and reporting meet applicable security, privacy, and governance requirements
Develop and maintain dashboards, reports, and data visualizations used by leadership and stakeholders

Required qualifications

U.S. citizenship and the ability to maintain a Secret security clearance
Substantial demonstrated experience performing analytics, data management, visualization, reporting, and secure data-handling duties described above
Strong pattern and anomaly-detection skills, with proficiency in statistical software packages and analytical tools
Demonstrated experience briefing large audiences on technical subjects
Proficiency in Microsoft Office Suite
Excellent verbal and written communication skills

Education and experience

Master’s degree (minimum)
General experience to meet one of the desired qualifications: 10 years with an associate’s degree, 8 years with a bachelor’s degree, or 6 years with a master’s degree
In lieu of a degree, candidates may qualify with additional years of relevant experience

Location and schedule

Cherry Point, North Carolina (onsite)

Salary

USD 80,000 - 90,000 per year

Benefits

Matching retirement program
Competitive salaries commensurate with skills and experience

Physical requirements

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

Note: Rivet Operations Company LLC may change or modify job duties and assignments at any time. This job description is not all encompassing, and position functions and qualifications may vary based on business needs.

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8d ago

Intermediate Artificial Intelligence (AI) Engineer

Targeted Approach Cherry Point, NC

Cherry Point, NC

8d ago

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

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Job Description

Support a Department of Defense program at MCAS Cherry Point, North Carolina by designing and delivering production-ready AI/ML capabilities.

Responsibilities

Design, build, test, evaluate, and deploy machine learning models and AI applications to automate tasks and improve business and operational processes
Build production-ready AI/ML systems using data science and software engineering principles for reliable operation in DoD environments
Develop and maintain software, scripts, data pipelines, and AI/ML solutions using Python, SQL, and other applicable languages
Create AI/ML solutions using TensorFlow, PyTorch, or comparable frameworks
Design, build, configure, and deploy AI applications and supporting infrastructure in cloud environments such as AWS, Microsoft Azure, GCP, or similar platforms
Design, build, configure, and maintain virtualized and cloud-based systems for 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 across the AI/ML lifecycle
Collaborate with data analysts, software developers, cloud engineers, cybersecurity personnel, Government stakeholders, and other technical SMEs to translate operational requirements into technical solutions
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 create 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 in AWS, Azure, GCP, or comparable cloud platforms
Experience designing, building, and maintaining virtualized and cloud-based environments supporting 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 applicable to AI, cloud, and virtualized environments
Experience monitoring and optimizing system, model, application, and cloud performance to support scalability, reliability, and operational effectiveness

Technologies

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

Benefits

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

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
Working within DoD, Department of the Navy, or U.S. Marine Corps technical environments
Supporting AI/ML capabilities through development, testing, deployment, operation, and sustainment

Education Requirements

No degree requires 12 years of general experience
Associate's degree requires 8 years of general experience
Bachelor's degree requires 7 years of general experience
Master's degree requires 6 years of general experience
Ph.D. requires 4 years of general experience
Relevant degrees may include Artificial Intelligence, Machine Learning, Computer Science, Data Science, Software Engineering, Computer Engineering, Information Technology, Information Systems, or another related technical discipline

Pay

$110,000.00 - $130,000.00 per year

Security Clearance

Secret (Required)

Location and Work Setup

Cherry Point, NC 28533 (Required)
In person

Minimum experience: 7 years

Education: Bachelor's degree

Location: Cherry Point, NC (onsite)

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11d ago

Intermediate AI Engineer

Jahn Corporation Cherry Point, NC

Cherry Point, NC

11d ago

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

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Job Description

Jahn Corporation is seeking an Intermediate AI Engineer to help build practical AI/ML models and tools that support aircraft readiness. This is an onsite full-time role in Cherry Point, NC, with a salary of USD 115,000 per year (from $115,000.00 per year) and excellent benefits. A Top Secret (Preferred) clearance is preferred.

What you’ll do

In this role, you will assist in the development of AI/ML models and tools with a focus on predictive maintenance and AI-driven decision support for aircraft readiness. You will work on designing and deploying machine learning pipelines and assessing emerging AI/ML techniques for use in USMC aviation logistics.

Assist in the development of AI/ML models and tools for aviation logistics use cases.
Design, develop, train, and validate machine learning models for predictive maintenance using historical aviation data.
Perform data cleansing, feature extraction, and feature engineering on large-scale datasets to support model development.
Develop and maintain ML pipelines for model training, evaluation, deployment, and monitoring in production environments.
Design and develop AI-driven decision support tools to optimize aircraft readiness.
Evaluate emerging AI/ML techniques and frameworks for applicability to USMC aviation logistics.

What you bring

12+ years of specific experience with no degree required (college degree can allow fewer years of experience).
Experience designing, building, testing, and deploying machine learning models and AI applications to automate tasks and solve complex problems.
Ability to bridge data science and software engineering concepts to deliver production-ready AI systems.
Hands-on experience with programming and query languages including Python and SQL.
Experience with machine learning/AI frameworks such as TensorFlow, PyTorch, or similar tools.
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 that manage organizational data, applications, and infrastructure.
Experience supporting migration of on-premises systems 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.
Experience monitoring system, model, application, and cloud environment performance to ensure scalability, reliability, and operational effectiveness.

Tools and technologies

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

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Data Jobs in Cherry Point, NC

Intermediate AI Engineer

Senior Data Analyst

Intermediate Artificial Intelligence (AI) Engineer

Intermediate AI Engineer

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