Software Engineer – AI/ML

🔥 17 minutes ago

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GE Aerospace

WebsiteLinkedInAll Job Openings

10,000+ employees

🚀 Aerospace

⚡ Energy

Aerospace • Energy • Engineering

GE Aerospace is a world-leading provider of jet and turboprop engines, as well as integrated systems for commercial, military, business, and general aviation aircraft. The company is dedicated to advancing sustainable aviation through the development of efficient aircraft engines compatible with alternative fuels and collaborates across the industry to promote innovation and safety in flight.

📋 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 • Convert complex operational datasets into scalable AI capabilities that enable real-time decision 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 that enable seamless integration into dashboards, applications, and operational workflows • Provide hands-on AI/ML technical leadership for modernization initiatives, 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 • Ensure AI/ML models deploy reliably to AWS infrastructure with proper monitoring, logging, and performance optimization • Collaborate with data platform teams to design data pipelines feeding AI/ML models to ensure data quality, freshness, and proper feature engineering

🎯 Requirements

• Bachelor's Degree in Computer Science, Data Science, Statistics, Engineering, or related field from an accredited institution • Minimum of 3 years of hands-on AI/ML engineering experience building and deploying machine learning models and/or AI-powered applications to production • Proven experience building data platforms and production LLM-powered applications • Strong understanding of prompt engineering, retrieval-augmented generation, and vector databases • 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 • Strong DevOps collaboration skills • Expertise in development platforms and services: AWS, Visual Studio, Databricks, GitHub, etc. • Experience building REST APIs (FastAPI, Flask) for model serving • Understanding of authentication, rate limiting, versioning, and API documentation

🏖️ 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 including GE Aerospace Retirement Savings Plan, 401(k) with company matching contributions • Access to Fidelity resources and planning consultants • Tuition assistance • Adoption assistance • Paid parental leave • Disability insurance • Life insurance • Paid time-off for vacation or illness