Remote AI/ML Engineer — LLMs, Pipelines & Production

GE Aerospace; Madisonville (KY); Remote; USD 112,000 - 150,000; Full time

Benefits offered by this job

Health benefits

401(k) with company match

Tuition assistance

Paid parental leave

Disability insurance

Life insurance

Paid time-off

Job summary

GE Aerospace is seeking an AI Engineer to transform operational data into production-grade ML pipelines, models, and LLM-powered applications. You’ll design, train, evaluate, deploy, and maintain AI/ML products, partnering with analytics teams to embed AI within existing tools and dashboards.

You will own the full AI/ML lifecycle, build scalable data pipelines with Databricks, and collaborate with executives to align requirements with measurable business outcomes in a remote-capable role.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or related field from an accredited college or university
• Minimum of 3 years of hands-on AI/ML engineering experience building and deploying machine learning models and/or AI-powered applications to production

Responsibilities

• Define, build, and evolve AI-powered software products that accelerate Commercial Engine Services operations—including LLM applications, machine learning models, and intelligent automation for supply chain optimization
• Create Model Context Protocol (MCP) servers that package domain-specific AI capabilities for reuse across the enterprise.
• Package AI/ML models as robust, well-documented APIs that enable seamless integration into dashboards, applications, and operational workflows.
• Collaborate with BI team to embed AI features into existing applications that enable natural language queries, predictive insights, and intelligent recommendations directly within user-facing applications

Skills

Python

Java

C#

TypeScript

LLM

Prompt engineering

Vector databases

Databricks

MLflow

REST APIs

Education

Bachelor’s degree in CS/DS/Stats/Engineering

Tools

AWS

Databricks

GitHub

FastAPI

Flask

Job description

GE Aerospace is seeking an AI Engineer to transform operational data into production-grade ML pipelines, models, and LLM-powered applications. You’ll design, train, evaluate, deploy, and maintain AI/ML products, partnering with analytics teams to embed AI within existing tools and dashboards.

You will own the full AI/ML lifecycle, build scalable data pipelines with Databricks, and collaborate with executives to align requirements with measurable business outcomes in a remote-capable role.