AI/ML Software Engineer — Production ML & LLM Apps

General Electric; Baltimore (MD); On-site; USD 112,000 - 150,000; Full time

Job summary

GE Aerospace seeks an AI Engineer to transform operational data into production-grade ML pipelines, models, and LLM-powered applications. You will design, train, and deploy AI/ML products, and partner with analytics teams to embed AI in existing tools for realtime decision support.

You will lead end-to-end AI lifecycle, implement MLOps, and collaborate with cross-functional teams to ensure data quality, governance, and scalable solutions across the enterprise.

Qualifications

• Bachelor's degree in CS, data science, statistics, engineering, or related field.
• Minimum of 3 years hands-on AI/ML engineering delivering production models or AI apps.

Responsibilities

• Design, build, and maintain AI/ML products including LLM apps, forecasting models, and anomaly detection.
• Own the full AI/ML lifecycle: requirements, design, training, evaluation, API development, deployment, and monitoring.
• Collaborate with BI and data platform teams to enable real-time decision support through AI.
• Establish MLOps practices with experiment tracking, model versioning, and automated evaluation.

Skills

Python

LLM

Prompt engineering

Model evaluation

API development

AWS

Databricks

REST APIs

Education

Bachelor's Degree in Computer Science, Data Science, Statistics, Engineering, or related field

Tools

MLflow

Weights & Biases

Databricks

FastAPI

Flask

GitHub

AWS

Job description

GE Aerospace seeks an AI Engineer to transform operational data into production-grade ML pipelines, models, and LLM-powered applications. You will design, train, and deploy AI/ML products, and partner with analytics teams to embed AI in existing tools for realtime decision support.

You will lead end-to-end AI lifecycle, implement MLOps, and collaborate with cross-functional teams to ensure data quality, governance, and scalable solutions across the enterprise.