AI/ML Engineer — Production ML & LLM Applications

GE Aerospace; Greenville (SC); On-site; USD 112,000 - 150,000; Full time

Job summary

GE Aerospace in Greenville, SC is hiring an AI Engineer to transform operational data into production-grade ML pipelines, models, and LLM-powered applications. You will train models, build APIs, and partner with analytics teams to deliver AI-enabled capabilities that impact daily operations.

The role covers end-to-end AI/ML lifecycle, from requirements and design to deployment, monitoring, and governance. Strong Python/ML experience, cloud skills, and collaboration with BI teams are essential.

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
• Proven experience building data platforms and production LLM-powered applications; strong understanding of prompt engineering, retrieval-augmented generation, and vector databases

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

TypeScript

Prompt engineering

Vector databases

Time-series forecasting

APIs

AI/ML lifecycle

Education

Bachelor's degree in Computer Science/Data Science/Statistics/Engineering or related field

Tools

MLflow

Weights & Biases

Model registries

Databricks

AWS

FastAPI/Flask

Job description

GE Aerospace in Greenville, SC is hiring an AI Engineer to transform operational data into production-grade ML pipelines, models, and LLM-powered applications. You will train models, build APIs, and partner with analytics teams to deliver AI-enabled capabilities that impact daily operations.

The role covers end-to-end AI/ML lifecycle, from requirements and design to deployment, monitoring, and governance. Strong Python/ML experience, cloud skills, and collaboration with BI teams are essential.