Remote AI/ML Engineer — Production ML & LLM Apps

GE Aerospace; Trevose (PA); On-site; USD 112,000 - 150,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) retirement plan

Tuition assistance

Paid parental leave

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 will train models, develop APIs, and build AI-enabled tools that drive real-time decision support.

You will lead AI/ML lifecycle, design data pipelines, deploy on AWS, and collaborate with BI to embed AI in dashboards and workflows. The role offers hands-on leadership, modern ML practices, and strategic impact.

Qualifications

• Bachelor's Degree in Computer Science, Data Science, Statistics, Engineering, or related field.
• 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
• Provide hands-on AI/ML technical leadership for our modernization initiative, setting best practices for prompt engineering, model evaluation, experiment tracking, and responsible AI development
• Partner with executive stakeholders and BI leadership to understand business challenges and translate operational needs into AI/ML capabilities

Skills

Python

Java

C#

TypeScript

Prompt engineering

Model deployment

Education

Bachelor's degree in Computer Science, Data Science, Statistics, Engineering

Tools

AWS

Databricks

MLflow

Weights & Biases

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 will train models, develop APIs, and build AI-enabled tools that drive real-time decision support.

You will lead AI/ML lifecycle, design data pipelines, deploy on AWS, and collaborate with BI to embed AI in dashboards and workflows. The role offers hands-on leadership, modern ML practices, and strategic impact.