The Health Engineering Team is responsible for defining future maintenance systems by applying machine learning and reliability concepts to improve aircraft health monitoring
Job Summary
The Health Engineering Team is responsible for defining future maintenance systems by applying machine learning and reliability concepts to improve aircraft health monitoring.
Engineers will develop rapid prototypes and proof-of-concept solutions to address complex engineering challenges in both commercial and defense ecosystems.
The role requires rigorous testing and validation of predictive models while ensuring comprehensive documentation and traceability throughout the project lifecycle.
Matching Summary
The Health Engineering Team is responsible for defining future maintenance systems by applying machine learning and reliability concepts to improve aircraft health monitoring.
Skills & Requirements
Must-have
Probabilistic AI/ML model development
Python programming for data analysis
Predictive maintenance algorithm design
Applied statistics and probability theory
End-to-end AI/ML model lifecycle management
Nice-to-have
Knowledge of aircraft hydraulic systems
Experience with Model Based System Engineering
Understanding of fluid mechanics
Ability to correlate failure modes to data features
Strong technical documentation skills
Key Requirements
B.Tech. or M.Tech. in aerospace, mechanical, electrical, or electronics engineering