Lead cross-functional teams to deploy complex predictive/prescriptive analytics solutions for Airplane Prognostics & Health Management
Job Summary
Lead cross-functional teams to deploy complex predictive/prescriptive analytics solutions for Airplane Prognostics & Health Management.
Apply AI/ML techniques to aircraft systems and subsystems for improved performance, operational efficiency, and productivity.
Collaborate with stakeholders to shape the future vision and direction of Boeing’s technology development in Artificial Intelligence and Machine Learning.
Matching Summary
Lead cross-functional teams to deploy complex predictive/prescriptive analytics solutions for Airplane Prognostics & Health Management.
Skills & Requirements
Must-have
AI/ML techniques for Predictive Maintenance
Develop and productionize ML models
Python, TensorFlow, PyTorch, scikit-learn
MLOps practices (Docker, Kubernetes)
Edge/cloud architectures and scalable storage
Explainable AI and privacy-preserving methods
Nice-to-have
Physics-based and probabilistic approaches
Digital twin and simulation of aircraft systems
Prescriptive analytics or optimization
Self-starter with positive attitude
Flexible hours for global collaboration
Key Requirements
Bachelor’s degree in engineering, Computer Science, Data Science, Mathematics, Physics or equivalent
Related work experience in Data science, machine learning or advanced analytics algorithm development
Strong expertise in classical machine learning (regression and classification)
Strong NLP and Generative AI expertise
Solid SQL skills, nosql databases and data modelling