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Artificial Intelligence Intern
GE Aerospace. Develop technical solutions for engineers to evaluate and adopt data and AI solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing technical solutions for data and AI applications, with a strong foundation in programming, machine learning, and cloud platforms. Capable of architecting distributed data systems and delivering impactful solutions that align with business needs.
Highest-signal resume keywords
Python ProgrammingMachine LearningAWS Cloud PlatformData EngineeringAI Solution Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
C# ProgrammingC++ ProgrammingSQL ProficiencyArchitecting Distributed Data SystemsDebugging SkillsNumerical MethodsWeb DesignLarge Language ModelsComputer VisionInnovator Method
Soft Skills
Customer-Centric MindsetCross-Functional CollaborationDesign Thinking Leadership
Tools & Technologies
AWSAzureData Science ToolsAI TechnologiesCloud Platforms
Certifications & Qualifications
AWS CertificationAzure Certification
Industry Keywords
Aerospace EngineeringMechanical EngineeringSTEM DisciplinesTechnical SolutionsBusiness Value
Tech Stack
Tools & technologiesAWSAzureCloudPythonSQLC++
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 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
What you’ll need- 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
Comp & perks- Paid Internship
- Travel Opportunities
- Real-world project ownership
- Mentorship from experienced engineers