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GE Aerospace

Applied AI Engineering Intern

GE Aerospace

Applied AI Engineering Intern at GE Aerospace building expertise in AI and cloud solutions. Collaborating on projects to deliver impactful aerospace designs.

Posted 6/22/2026internshipRemote • 🇩🇪 GermanyEntry LevelWebsite

Tech Stack

Tools & technologies
AWSAzureCloudPythonSQL

About the role

Key responsibilities & impact
  • Develop technical solutions for engineers to evaluate and adopt data and AI solutions.
  • Consult on architecture, implement proof of concepts and deliver solutions for business strategic projects, including data science and machine learning systems.
  • Build and present product architectures, write technical code, and demo applications to stakeholders.
  • Gain hands-on experience with the Innovator Method, Game Theory, and DecisionIQ and turn customer insights into solution that deliver real business value.
  • Sharpen your skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods.
  • Use your strengths to support team members and build cross-functional relationships across the company.
  • Work to ship solutions to production that meet business needs and drive impact.

Requirements

What you’ll need
  • Currently enrolled at a university in a Bachelor ’ s degree program in Computer Science, Aerospace Engineering, Mechanical Engineering; or a related field at an accredited university or credentialed software accelerator program.
  • Eligible to work in Germany; this position is a student role under German payroll
  • Strong academic performance in Computer Science or other STEM disciplines
  • Experience designing AI solutions and architecting distributed data systems
  • Proficiency in programming and debugging with Python, C#, C++, and SQL
  • Customer-centric mindset with ability to lead design thinking workshops
  • Hands-on experience in at least one of the following areas: Machine Learning, Large Language Models (LLMs), or Computer Vision
  • Experience building solutions using public cloud platforms such as AWS or Azure
  • Desired Characteristics AWS and/or Azure certification

Benefits

Comp & perks
  • Relocation Assistance Provided: No

ATS Keywords

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Hard Skills & Tools
PythonC#C++SQLMachine LearningLarge Language ModelsComputer Visiondata engineeringweb designnumerical methods
Soft Skills
customer-centric mindsetlead design thinking workshopssupport team membersbuild cross-functional relationships
Certifications
AWS certificationAzure certification