Software Engineer – AI/ML

GE Aerospace

AI Engineer at GE Aerospace transforming operational data into AI-powered solutions. Developing machine learning pipelines, models, and applications to enhance operational efficiency.

Posted 6/10/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $112,000 - $150,000 per yearWebsite

Tech Stack

Tools & technologies

AWSFlask

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI/ML engineeringmachine learning modelsAI-powered applicationsprompt engineeringretrieval-augmented generationvector databasessupervised learningunsupervised learningtime-series forecastingclassification

Soft Skills

technical leadershipcollaborationcommunicationproblem-solvingstakeholder engagementbest practices settingoperational supportrequirements analysisdata quality assurancefeature engineering

Certifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Data ScienceBachelor's Degree in StatisticsBachelor's Degree in Engineering