Software Engineer AI/ML

GE Aerospace

Remote

Quick summary

Work type
Remote
Location
Evendale, OH
Salary
$112,000–$150,000 / yr
Posted
1 day ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $199k
This role $131k
$97k most similar roles pay here $250k

This role pays less than 90% of similar roles. Most pay $161,500–$235,562 — the shaded band above. At the midpoint, this role pays about $131k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About GE Aerospace

GE Aerospace (General Electric Aerospace) designs and produces commercial and military jet engines, components, and integrated systems for aircraft manufacturers and airlines worldwide. Industry: Aerospace & Aviation Engines

GE Aerospace currently has 42 open roles on FindRole.

Listed pay typically runs $131,000–$174,000 across 26 roles with salary data.

Most-posted roles

View all roles at GE Aerospace

At a glance

TL;DR · Software Engineer AI/ML

The CES Business Intelligence team at GE Aerospace seeks an AI Engineer to develop and deploy advanced machine learning solutions for operational efficiency. In this role, you will design and build production-grade ML pipelines, models, and LLM-powered applications that integrate seamlessly with existing tools, enhancing real-time decision-making capabilities. You’ll collaborate closely with analytics teams and executive stakeholders to align on requirements and success metrics, ensuring your work has a direct impact on business outcomes. The ideal candidate possesses expertise in Python, Java, C#, TypeScript, AWS, Databricks, MLflow, and FastAPI/Flask for API development. Experience in supply chain optimization or manufacturing operations is beneficial, as you will leverage AI to solve complex operational challenges at scale.

What you'll do

  • Design and build AI/ML products including LLM applications and forecasting models.
  • Develop robust APIs for seamless integration of AI capabilities into operational workflows.
  • Establish MLOps practices for continuous model improvement and reliable deployment.
  • Implement monitoring and observability frameworks to track AI system performance.
  • Drive the AI/ML roadmap by identifying high-impact use cases and building PoCs.

What we're looking for

  • Minimum 3 years of hands-on AI/ML engineering experience in production environments.
  • Strong expertise in building and deploying machine learning models and LLM-powered applications.
  • Proficiency in ML frameworks, model registries, automated training pipelines, A/B testing, and monitoring tools.
  • Experience with AWS infrastructure, Databricks, GitHub, and development platforms like Visual Studio.
  • Technical leadership skills to set best practices for AI/ML projects and collaborate with executive stakeholders.

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