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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 and implementing data and AI solutions, with a strong focus on architecture, machine learning, and cloud platforms. Capable of translating customer insights into impactful business solutions while fostering cross-functional collaboration.
Highest-signal resume keywords
AI Solutions DesignDistributed Data Systems ArchitecturePython ProgrammingCloud Platforms (AWS, Azure)Machine Learning Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonC#C++SQLMachine LearningLarge Language ModelsComputer VisionData EngineeringNumerical MethodsWeb Design
Soft Skills
Customer-Centric MindsetLeadership in Design Thinking WorkshopsCross-Functional Relationship Building
Tools & Technologies
AWSAzureCloud PlatformsData Science SystemsTechnical Code Development
Certifications & Qualifications
AWS CertificationAzure Certification
Industry Keywords
Data SolutionsAI TechnologiesTechnical ArchitectureProof of ConceptsBusiness Value Delivery
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 strategic business solutions, 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 delivering 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
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 at least one of: 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
Benefits
Comp & perks- Paid internship
- Travel opportunities
- Real-world project ownership
- Mentorship from experienced engineers