Remote AI Engineer Co-op: Build AI Solutions for Flight

GE Aerospace

Cincinnati (OH)

On-site

USD 28,000 - 39,000

Full time

4 days ago
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Benefits offered by this job

Travel opportunities
Real‑world projects
Mentorship from engineers
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Job summary

GE Aerospace is seeking an AI intern to build and deliver data and AI solutions across engineering projects. You will gain hands-on experience across cloud platforms, databases, data engineering, web design, and AI technologies while working on real-world challenges.

As part of the internship, you’ll be mentored by experienced engineers, contribute to cross-functional initiatives, and have opportunities for return offers upon successful completion.

Qualifications

  • Enrolled in a bachelor’s degree program in CS or engineering with a strong GPA (3.7/4.0).
  • Strong programming and debugging skills in Python, C#, C++, and SQL.
  • Experience designing AI solutions and distributed data systems.

Responsibilities

  • Develop technical solutions for data and AI adoption.
  • Consult on architecture and deliver proof of concepts.
  • Build and present architectures, write code, and demo applications.
  • Gain hands-on experience with Innovator Method, Game Theory, and DecisionIQ insights.
  • Enhance skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods.
  • Collaborate cross-functionally to ship production-ready solutions.
  • Support team members and drive business value.

Skills

Python
C#
C++
SQL
Machine Learning
AWS
Azure

Education

Bachelor’s degree in Computer Science or Engineering

Tools

AWS
Azure

Job description

GE Aerospace is seeking an AI intern to build and deliver data and AI solutions across engineering projects. You will gain hands-on experience across cloud platforms, databases, data engineering, web design, and AI technologies while working on real-world challenges.

As part of the internship, you’ll be mentored by experienced engineers, contribute to cross-functional initiatives, and have opportunities for return offers upon successful completion.

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