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Closed on October 23, 2026.

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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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