Software Engineer – AI/ML

🕒 Agosto 6

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $112.000 - $150.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

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GE Aerospace

SiteLinkedInTodas as Vagas

10.000+ funcionários

🏭 Manufatura

🎖️ Defesa

💼 Consultoria

Manufacturing • Defense • Consulting

A GE Aerospace é uma fornecedora líder mundial de motores a jato e turboélice, além de sistemas integrados para aeronaves comerciais, militares, executivas e de aviação geral. A empresa é dedicada a avançar na aviação sustentável por meio do desenvolvimento de motores de aeronaves eficientes, compatíveis com combustíveis alternativos, e colabora com a indústria para promover a inovação e segurança no voo.

Descrição

• Develop AI/ML products including LLM-powered applications, forecasting models, anomaly detection systems, and intelligent agents • Own the full AI/ML lifecycle from requirements analysis and model design through training, evaluation, API development, deployment, and operational support • Convert operational datasets into scalable AI capabilities for real-time decision support • Define and evolve AI-powered software products for Commercial Engine Services operations • Create Model Context Protocol servers for reusable domain-specific AI capabilities • Package AI/ML models as documented APIs for dashboards, applications, and operational workflows • Embed AI features into existing applications, including natural language queries, predictive insights, and intelligent recommendations • Provide hands-on AI/ML technical leadership and establish best practices for prompt engineering, model evaluation, experiment tracking, and responsible AI • Partner with executive stakeholders, BI leadership, domain experts, BI developers, platform engineers, and business stakeholders • Deploy AI/ML models reliably to AWS with monitoring, logging, and performance optimization • Translate requirements into a prioritized AI/ML product backlog and drive delivery against timelines, quality standards, and business outcomes • Collaborate with data platform teams on data pipelines, data quality, freshness, and feature engineering using Databricks medallion architecture • Establish MLOps practices including experiment tracking, model versioning, automated evaluation pipelines, and A/B testing • Implement monitoring, observability, and automated alerting for model performance, data drift, latency, and error rates • Design vector database architectures and semantic search capabilities for RAG applications • Build LLM evaluation frameworks and automated testing for prompts and model outputs • Ensure responsible AI practices including bias detection, explainability, privacy-preserving techniques, and compliance with AI governance policies • Drive the AI/ML roadmap by identifying use cases, evaluating technologies, and building proof-of-concepts • Establish reusable AI/ML components, templates, and reference architectures • Communicate AI/ML concepts, tradeoffs, and results through documentation, executive presentations, and demonstrations • Mentor the team on AI integration, prompt engineering, and model usage • Drive products through deployment, monitoring, iteration, and continuous accuracy improvement

🎯 Requisitos

• 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 • Production-quality coding using appropriate technologies such as Python, Java, C#, or TypeScript • Experience building data platforms and production LLM-powered applications • Strong understanding of prompt engineering, retrieval-augmented generation, and vector databases • Foundation in supervised and unsupervised learning, time-series forecasting, classification, and optimization • Experience with MLflow, model registries, automated training pipelines, A/B testing frameworks, and model monitoring • Expertise with AWS, Visual Studio, Databricks, GitHub, or similar development platforms and services • Experience building REST APIs using FastAPI or Flask • Understanding of authentication, rate limiting, API versioning, and API documentation • Experience with MLOps, CI/CD, automated testing, secure coding, scalability, documentation-as-code, refactoring, and performance engineering • Experience with monitoring and observability for AI/ML systems • Experience designing vector database architectures and semantic search for RAG applications • Experience building LLM evaluation frameworks and automated prompt/model-output testing • Knowledge of bias detection, explainability using SHAP or LIME, privacy-preserving techniques, and enterprise AI governance • Ability to translate AI/ML capabilities into measurable business outcomes • Ability to break down ambiguous AI problems, write clear problem statements, and estimate model development effort • Strong written and verbal communication skills • Legally authorized to work in the United States • Successful completion of a drug screen, as applicable

🏖️ Benefícios

• Annual discretionary bonus based on a percentage of base salary • Medical, dental, vision, and prescription drug coverage • Access to a Health Coach from GE Aerospace • Employee Assistance Program with 24/7 confidential assessment, counseling and referral services • GE Aerospace Retirement Savings Plan • 401(k) savings plan with company matching contributions and company retirement 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 • Professional development • Relocation assistance not provided