The Health Engineering Team is responsible for defining future maintenance systems by developing diagnostic and prognostic solutions using machine learning
Job Summary
The Health Engineering Team is responsible for defining future maintenance systems by developing diagnostic and prognostic solutions using machine learning.
Candidates will develop rapid prototypes and tangible proof-of-concept solutions to address engineering challenges in commercial and defense ecosystems.
The role requires rigorous testing and validation of predictive models prior to deployment, ensuring comprehensive documentation of methodologies and performance metrics.
Matching Summary
The Health Engineering Team is responsible for defining future maintenance systems by developing diagnostic and prognostic solutions using machine learning.
Skills & Requirements
Must-have
Probabilistic AI/ML model development
Python programming for data analysis
Applied statistics and probability theory
Fault isolation and prediction algorithms
End-to-end AI/ML model lifecycle governance
Nice-to-have
Knowledge of aircraft hydraulics and fluid mechanics
Experience with Model Based System Engineering
Ability to correlate failure modes to data features
Strong technical documentation skills
Interest in pioneering data science in aviation
Key Requirements
B.Tech. / M.Tech. in aerospace, mechanical, electrical or electronics engineering