
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.
🔥 15 minutes ago
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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.
• Support the design, development, and maintenance of AI-enabled workflows and software applications • Assist with integrating AI/ML models into application environments • Collaborate with cross-functional teams to understand requirements and contribute to AI-driven solutions • Help develop orchestration logic and automation workflows for AI use cases • Write clean, maintainable, and scalable code under team guidance and development standards • Support testing, monitoring, and improvement of AI systems and software applications • Stay current with emerging AI, LLM, and software development practices • Attend in-person New Hire Orientation on Day 1
• Bachelor’s Degree in Computer Science or STEM majors • Minimum of 1 year of experience in software engineering, AI/ML, data science, or a related technical field • Valid LinkedIn profile • Coursework, internship, co-op, or project experience in software development and/or AI/ML • Foundational programming skills in Python • Familiarity with GitHub, JupyterHub, or Visual Studio • Interest in building AI-driven applications and learning how to deploy models in software environments • Exposure to prompt engineering, model evaluation, or applied AI concepts • Familiarity with cloud platforms such as AWS, Azure, or GCP is a plus • Exposure to Docker or Kubernetes is a plus • Exposure to LangChain, AutoGen, CrewAI, or similar is a plus • Basic understanding of AI/ML concepts, including LLMs • Ability to communicate effectively with technical team members and stakeholders • Must meet U.S. Person status requirements to access U.S. export-controlled information • Must be legally authorized to work in the United States • Successful completion of a drug screen, as applicable • May be subject to random and reasonable-suspicion drug and alcohol testing
• Professional development opportunities • Challenging careers • Competitive compensation • Great work environment
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