Remote AI/ML Engineer: Production ML & LLM Apps

GE Aerospace; Bloomington (IL); Remote; USD 112,000 - 150,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid time off

Job summary

GE Aerospace is seeking an AI Engineer to develop AI/ML products, train models, and build APIs that transform operational data into production-grade pipelines. You will collaborate with analytics teams, align with executives on requirements, and contribute to AI strategy for real-time decision support.

The role emphasizes end-to-end AI lifecycle, from design and training to deployment, monitoring, and governance, with a focus on scalable, responsible AI in an AWS/DataBricks environment.

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

Production-quality code

AI/ML product development

Prompt engineering

Model evaluation

DevOps collaboration

AWS / Databricks / GitHub

REST APIs (FastAPI/Flask)

Education

Bachelor's Degree in CS/DS/Engineering

Tools

Python

Java

C#

TypeScript

MLflow

Weights & Biases

AWS

Databricks

GitHub

Job description

GE Aerospace is seeking an AI Engineer to develop AI/ML products, train models, and build APIs that transform operational data into production-grade pipelines. You will collaborate with analytics teams, align with executives on requirements, and contribute to AI strategy for real-time decision support.

The role emphasizes end-to-end AI lifecycle, from design and training to deployment, monitoring, and governance, with a focus on scalable, responsible AI in an AWS/DataBricks environment.