Intermediate AI Engineer

DataJobs

Cherry Point (IL)

On-site

USD 98,000 - 132,000

Full time

14 days+

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Benefits offered by this job

Excellent benefits

Job summary

Jahn Corporation in Cherry Point, NC is seeking an Intermediate AI Engineer to build practical AI/ML models and tools that support aircraft readiness. This is an onsite full-time role with a salary of USD 115,000 per year and excellent benefits.

A Top Secret (Preferred) clearance is preferred. You will design, train, and deploy ML pipelines, focusing on predictive maintenance and AI-driven decision support for USMC aviation logistics.

Qualifications

12+ years of specific experience in AI/ML roles.
Experience building production-grade AI/ML models and tools.
Bridge data science and software engineering to deliver scalable AI systems.
Hands-on programming in Python and SQL.

Responsibilities

Develop AI/ML models and tools for aviation logistics.
Design, train, and validate models for predictive maintenance.
Perform data cleansing and feature engineering on large datasets.
Build and maintain ML pipelines for training, evaluation, deployment, and monitoring.
Develop AI-driven decision support to optimize aircraft readiness.
Evaluate new AI/ML techniques for applicability to USMC aviation logistics.

Skills

AI/ML development

Production-ready AI systems

Data engineering concepts

Python

SQL

Tools

TensorFlow

PyTorch

AWS

GCP

Azure

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.