Applied AI Engineering Intern

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Logo of GE Aerospace

GE Aerospace

10,000+ employees

🚀 Aerospace

⚡ Energy

Aerospace • Energy • Engineering

GE Aerospace is a world-leading provider of jet and turboprop engines, as well as integrated systems for commercial, military, business, and general aviation aircraft. The company is dedicated to advancing sustainable aviation through the development of efficient aircraft engines compatible with alternative fuels and collaborates across the industry to promote innovation and safety in flight.

📋 Description

• 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

• 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

• Relocation Assistance Provided: No

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