AI/ML Engineer, Production Models & LLM Apps (Remote)

GE Aerospace; Dover (DE); Remote; USD 112,000 - 150,000; Full time

Job summary

GE Aerospace is seeking an AI Engineer to transform operational data into production‑grade ML pipelines and LLM‑powered applications. You will train models, build APIs, and deliver AI features in collaboration with analytics teams.

You will contribute to AI strategy, align with executives on requirements, and guide the full AI/ML lifecycle from design to deployment, ensuring scalable, reliable solutions for daily operations.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or related field.
• Minimum of 3 years hands‑on AI/ML engineering experience deploying models or AI-powered apps.

Responsibilities

• Design, build, deliver and maintain AI/ML products including LLM apps and forecasting models.
• Develop data pipelines, APIs, and scalable AI capabilities for real-time decision support.
• Collaborate with BI and data platform teams to drive AI strategy and implementation.

Skills

Python

Prompt engineering

MLflow

REST APIs

AWS

Databricks

Vector databases

Education

Bachelor's degree in CS/DS/Engineering

Tools

FastAPI

Flask

GitHub

Job description

GE Aerospace is seeking an AI Engineer to transform operational data into production‑grade ML pipelines and LLM‑powered applications. You will train models, build APIs, and deliver AI features in collaboration with analytics teams.

You will contribute to AI strategy, align with executives on requirements, and guide the full AI/ML lifecycle from design to deployment, ensuring scalable, reliable solutions for daily operations.