Software Engineer – AI/ML

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GE Aerospace

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10.000+ Mitarbeiter

🚀 Luft- und Raumfahrt

⚡ Energie

Aerospace • Energy • Engineering

GE Aerospace ist ein weltweit führender Anbieter von Jet- und Turboprop‑Triebwerken sowie integrierten Systemen für die zivile, militärische, Geschäfts- und Allgemeinluftfahrt. Das Unternehmen setzt sich dafür ein, die nachhaltige Luftfahrt voranzubringen – durch die Entwicklung effizienter Flugzeugtriebwerke, die mit alternativen Kraftstoffen kompatibel sind – und arbeitet branchenweit zusammen, um Innovation und Flugsicherheit zu fördern.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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