Remote Applied AI Engineer: Data & Cloud ML

Y99000 General Electric Company

Evendale (OH)

On-site

USD 28,000 - 41,000

Full time

12 days ago
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Benefits offered by this job

Housing assistance
Relocation support

Job summary

GE Aerospace offers an internship where you will develop technical solutions for engineers to evaluate and adopt data and AI solutions. You will consult on architecture, implement proofs of concept, and deliver solutions for strategic projects while building architectures and demo apps.

You will gain hands-on experience across cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods, with opportunities to collaborate and ship production-ready solutions

Qualifications

  • Enrolled in a Bachelor's degree program in CS, Aerospace Eng, Mechanical Eng, or related field.
  • Minimum 3.7 cumulative GPA on a 4.0 scale with no rounding.
  • No prior work experience required.

Responsibilities

  • Develop technical solutions for engineers to evaluate and adopt data and AI solutions.
  • Consult on architecture, implement proofs of concept, and deliver solutions for strategic projects.
  • Build and present product architectures, write code, and demo applications to stakeholders.
  • Gain hands-on experience with cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods.
  • Collaborate with team members and cross-functional partners to ship production-ready solutions.

Skills

Python
C#
C++
SQL
Cloud platforms

Education

Bachelor's degree in CS or related field
GPA 3.7/4.0

Tools

AWS
Azure

Job description

GE Aerospace offers an internship where you will develop technical solutions for engineers to evaluate and adopt data and AI solutions. You will consult on architecture, implement proofs of concept, and deliver solutions for strategic projects while building architectures and demo apps.

You will gain hands-on experience across cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods, with opportunities to collaborate and ship production-ready solutions

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