AI/ML Engineer: Production-Grade ML & LLM Apps

General Electric; Nashville (TN); On-site; USD 112,000 - 150,000; Full time

Job summary

GE Aerospace in Nashville seeks an AI Engineer to transform operational data into production-grade AI/ML pipelines, models, and LLM-powered applications. You will lead end-to-end AI/ML lifecycle, from requirements and model design to training, evaluation, API development, deployment, and operations.

You will collaborate with BI and analytics teams to embed AI features in dashboards and workflows, driving measurable business impact while adhering to responsible AI and modern MLOps practices.

Qualifications

• Bachelor's degree or higher in a technical field.
• 3+ years hands-on AI/ML engineering experience.
• Experience building production AI/ML apps and models.

Responsibilities

• Design, build, and maintain AI/ML products including LLM-powered apps and forecasting models.
• Own end-to-end AI/ML lifecycle from requirements to deployment.
• Develop data pipelines and APIs for real-time decision support.
• Collaborate with BI to embed AI features in existing tools.

Skills

Python

Java

C#

TypeScript

LLM apps

AI/ML engineering

APIs

AWS

Databricks

Prompt engineering

REST APIs

Education

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

Tools

MLflow

Weights & Biases

Databricks

FastAPI

Flask

GitHub

Job description

GE Aerospace in Nashville seeks an AI Engineer to transform operational data into production-grade AI/ML pipelines, models, and LLM-powered applications. You will lead end-to-end AI/ML lifecycle, from requirements and model design to training, evaluation, API development, deployment, and operations.

You will collaborate with BI and analytics teams to embed AI features in dashboards and workflows, driving measurable business impact while adhering to responsible AI and modern MLOps practices.