Artificial Intelligence Intern @GE Aerospace
Artificial Intelligence
Salary unspecified
Remote Location
Employment Type internship
Posted Today

[Hiring] Artificial Intelligence Intern @GE Aerospace

Today - GE Aerospace is hiring a remote Artificial Intelligence Intern. 💸 Salary: unspecified 📍Location: Qatar

Role Description

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 approaches 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 solutions 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.

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.

Requirements

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

Benefits

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

  • Relocation Assistance Provided: No.
  • #LI-Remote - This is a remote position.
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remote Be aware of the location restriction for this remote position: Qatar
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Artificial Intelligence Intern @GE Aerospace
Artificial Intelligence
Salary unspecified
Remote Location
Employment Type internship
Posted Today
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remote Be aware of the location restriction for this remote position: Qatar
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
Did not apply ✓
Applied ✓
Sent Follow-Up ✓
Interview Scheduled ✓
Interview Completed ✓
Offer Accepted ✓
Offer Declined ✓
Application Denied ✓
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