Artificial Intelligence Intern

Job Description Summary

Job Description

Company Overview:

Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight!

Site Overview

We serve regional customers with our "Two sites, one team" approach, operating from OWS Doha and Dubai. We have exciting growth plans for the upcoming years and are committed to excellence in everything we do. Our team is diverse, with more than 20 different nationalities, and we celebrate different perspectives and backgrounds, which contribute to innovative solutions and a dynamic workplace. Join us and be part of a team that is dedicated to making a difference in the aerospace industry.

Role Overview

Are you ready to see your future take flight? At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. We have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen.

At GE Aerospace Technology & Operations, our customers challenge us to tackle some of the world’s most complex engineering problems that require innovative approach using new technologies. Our engineers depend on software developers to bridge data, tools, and emerging technologies, like cloud and AI, to unlock new possibilities and shape the future of flight.

What You will Do

• 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 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.

Our culture thrives on innovation, diversity, and deep collaboration. You’ll contribute as both a learner and a builder, helping us push the design frontier in aerospace.

Required Qualifications

• Graduate or pursuing a bachelor’s degree in computer science, Aerospace Engineering, Mechanical Engineering or a related field at an accredited university or credentialed software accelerator program.
• Minimum 3.7 cumulative GPA off a 4.0 scale without rounding

• 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

• Preferred but not required: AWS and/or Azure certification

• No prior work experience required

About The Internship

• Spring: March to June
• Location: Remote
• Paid Internship
• Travel Opportunities
• Real-world project ownership
• Mentorship from experienced engineers

At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate. ​​

Additional Information

#LI-Remote - This is a remote position