AI/ML Engineer for Real-Time Ops & LLM Apps (Remote)

GE Aerospace; Glen Allen (VA); Remote; USD 112,000 - 150,000; Full time

Benefits offered by this job

Health benefits

401(k) with company matching

Tuition assistance

Parental leave

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, build APIs, and deliver AI-enabled tools that support real-time decision making.

You will lead AI/ML projects, collaborate with BI teams, and ensure scalable, responsible AI with governance and monitoring. This role emphasizes delivering business impact through AI in a hands-on environment.

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 ML models or AI-powered applications to production
• Experience building AI/ML solutions for supply chain, manufacturing, maintenance, or operations analytics is a strong plus

Responsibilities

• Define, build, and evolve AI-powered software products including LLM applications, ML models, and intelligent automation for supply chain optimization
• Package AI/ML models as robust, well-documented APIs for dashboards, applications, and workflows
• Collaborate with BI team to embed AI features for natural language queries and predictive insights
• Provide hands-on AI/ML technical leadership for modernization, including prompt engineering and model evaluation
• Ensure AI/ML models deploy reliably to AWS with monitoring and performance optimization

Skills

Python

AI/ML product development

API development

Prompt engineering

Data pipeline design

Team leadership

Education

Bachelor's Degree in CS/Data Science/Statistics/Engineering

Tools

AWS

Databricks

FastAPI/Flask

LLM tooling

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, build APIs, and deliver AI-enabled tools that support real-time decision making.

You will lead AI/ML projects, collaborate with BI teams, and ensure scalable, responsible AI with governance and monitoring. This role emphasizes delivering business impact through AI in a hands-on environment.