Artificial Intelligence Intern

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

⏱ Part Time

⚪️ Entry-level

🤖 Artificial Intelligence

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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GE Aerospace

WebsiteLinkedInAll Job Openings

10,000+ employees

🏭 Manufacturing

🎖️ Defense

💼 Consulting

Manufacturing • Defense • Consulting

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 strategic business 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 skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods • Support team members and build cross-functional relationships across the company • Ship solutions to production that meet business needs and drive impact • Contribute as a learner and builder to innovation in aerospace

🎯 Requirements

• 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 Machine Learning, Large Language Models (LLMs), or Computer Vision • Experience building solutions using public cloud platforms such as AWS or Azure • No prior work experience required • Preferred but not required: AWS and/or Azure certification

🏖️ Benefits

• Paid Internship • Travel Opportunities • Real-world project ownership • Mentorship from experienced engineers

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