AI/ML Engineer for Production-Grade LLM Apps

GE Aerospace; Barrington (IL); On-site; USD 112,000 - 150,000; Full time

Benefits offered by this job

Health benefits

401(k) matching

Paid time off

Tuition assistance

Parental leave

Job summary

GE Aerospace is seeking an AI Engineer to transform operational data into production-grade ML pipelines, models, and LLM-powered apps. You will design, train, and deploy AI/ML solutions, partnering with analytics teams to embed AI into existing tools and dashboards.

Lead AI/ML lifecycle, establish MLOps, and collaborate with executives to align requirements with business impact, while expanding your AI/ML skill set within a dynamic team.

Qualifications

• Bachelor's degree in CS/DS/Statistics/Engineering or related field.
• Minimum of 3 years of hands-on AI/ML engineering experience building and deploying models/applications to production.

Responsibilities

• Design, build, and maintain AI/ML products including LLM-powered applications and models.
• Own full AI/ML lifecycle from requirements to deployment and support.
• Collaborate with BI and data teams to feed AI models with high-quality data.
• Establish MLOps practices and monitoring for model performance and governance.
• Translate business requirements into AI capabilities with measurable impact.
• Ensure AI models deploy reliably to AWS and are well-documented.

Skills

Python

Java

C#

TypeScript

Prompt engineering

LLM applications

Vector databases

AWS

Databricks

REST APIs

Education

Bachelor's Degree in Computer Science, Data Science, Statistics, Engineering, or related field

Tools

AWS

Databricks

Visual Studio

GitHub

Job description

GE Aerospace is seeking an AI Engineer to transform operational data into production-grade ML pipelines, models, and LLM-powered apps. You will design, train, and deploy AI/ML solutions, partnering with analytics teams to embed AI into existing tools and dashboards.

Lead AI/ML lifecycle, establish MLOps, and collaborate with executives to align requirements with business impact, while expanding your AI/ML skill set within a dynamic team.