Machine Learning Engineer

• Lead development and integration of AI/ML solutions into existing and future engineering systems
• Build, test, deploy, and monitor AI systems for design optimization, product inspection, field investigation, and productivity assistants
• Lead the end-to-end AI/ML lifecycle, including data strategy, feature engineering, model training, validation, deployment, monitoring, and continuous improvement
• Develop and maintain full-stack software systems integrating AI models and capabilities
• Define, architect, and implement capabilities, standards, and operational processes within the P&W AI Platform Ecosystem
• Lead technical adoption and enablement of enterprise AI capabilities across Engineering, Digital, and Operations organizations
• Establish, document, and promote AI/ML engineering standards and best practices
• Mentor engineers and support development of the AI discipline
• Partner with technical and business leaders to identify, prioritize, and implement high-value AI capabilities
• Build partnerships across the global Pratt & Whitney team

Explore Senior Principal Machine Learning Engineer at RTX. Review requirements and application details.