Software Engineer – AI/ML

🔥 8 minutes ago

🏈 Ohio – Remote

🏈 Ohio – Remote

💵 $112k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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GE Aerospace

WebsiteLinkedInAll Job Openings

10,000+ employees

🚀 Aerospace

🏭 Manufacturing

🎖️ Defense

💰 $2G Post-IPO Debt - GE Aerospace on 2025-07

Aerospace • Manufacturing • Defense

GE Aerospace is a global aerospace company that designs, manufactures, and services jet engines, components, and integrated systems for commercial and military aircraft. Headquartered in Cincinnati, Ohio, the company operates 60+ manufacturing locations, 15+ overhaul and component repair sites, and multiple engineering centers across 24 countries, employing roughly 53,000 people. GE Aerospace invests heavily in R&D (reported $2. 75B including customer/partner funding), supports large-scale commercial aviation (3. 4 billion passengers flew with GE technology in 2024) and maintains a fleet of about 45,000 engines in service. The company emphasizes U. S. manufacturing, workforce development, and a lean operating model called FLIGHT DECK, and is a major defense supplier supporting military aviation.

📋 Description

• Design, build, deliver, and maintain AI/ML products including LLM-powered applications, forecasting models, anomaly detection systems, and intelligent agents • Own the full AI/ML lifecycle: requirements analysis, model design, training, evaluation, API development, deployment, and operational support • Define, build, and evolve AI-powered software products that accelerate Commercial Engine Services operations • 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 for seamless integration into dashboards, applications, and workflows • Collaborate with BI team to embed AI features into existing applications

🎯 Requirements

• 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 • Write production-quality code that meets standards and delivers intended functionality using appropriate technologies (e.g., Python, Java, C#, TypeScript) • Proven experience building data platforms and production LLM-powered applications; understanding of prompt engineering • Strong foundation in supervised/unsupervised learning, time-series forecasting, classification, and optimization • Experience with MLflow, model registries, automated training pipelines, A/B testing frameworks, and model monitoring • Expertise in AWS, Visual Studio, Databricks, GitHub, etc. • Experience building REST APIs (FastAPI, Flask) for model serving

🏖️ Benefits

• Healthcare benefits include medical, dental, vision, and prescription drug coverage • Access to a Health Coach from GE Aerospace • Employee Assistance Program providing 24/7 confidential assessment, counseling and referral services • Retirement benefits include GE Aerospace Retirement Savings Plan and 401(k) with company matching • Tuition assistance • Adoption assistance • Paid parental leave • Disability insurance • Life insurance • Paid time-off for vacation or illness