Health Engineer

Job Description:

Company Description
Airbus is a leader in designing manufacturing and delivering aerospace products services and solutions to customers on a worldwide scale. With over 130000 employees and as the largest aeronautics and Space Company in Europe and a worldwide leader Airbus is at the forefront of the aviation industry. We build the most innovative commercial aircraft and consistently capture
about half of all commercial airliner orders. Thanks to our deep understanding of changing market needs customer focus and technological innovation we offer products that connect people and places via air and space.
Come and join us. #WeMakeItFly

Job Position
Health Engineer - Predictive Maintenance Modelling

Team Description
The Health Engineering Team at Airbus India is responsible for defining the maintenance systems of tomorrow for the aircraft and developing diagnostic and prognostic solutions to improve the maturity of systems and to provide health monitoring capabilities by applying machine learning algorithms reliability concepts an adept understanding of aircraft systems and modeling and simulation capabilities. The team works with both commercial and defense &
space ecosystems and is also engaged on Airbus Skywise (the singular access point to data analytics) utilizing Big Data Java & Python skills to create data-driven models.
This team is part of Advanced Engineering & System Studies a department that works on providing simulation means for most aircraft systems through the application of systems engineering Model Based System Engineering (MBSE) certification abilities prognostics and health monitoring system modeling and simulation data analytics etc.

Job Responsibilities
We are looking for a Health Engineer who is self-motivated and driven to work with multiple stakeholders in an R&T environment being responsible for:

Develop algorithms for fault isolation detection (diagnosis) and prediction (prognostics) so as to perform health monitoring or condition based monitoring for predictive maintenance
Analyze the technological needs of various aircraft systems and their extended ecosystem (customers suppliers etc.) to identify key problem statements.
Develop rapid prototypes and tangible proof-of-concept solutions to address these identified needs and engineering challenges.
Execute a structured process-based approach to end-to-end AI/ML model development ensuring traceability reproducibility and robust governance throughout the project lifecycle.
Collaborate with global cross-functional teams and international experts proactively networking to enhance methodologies integrate constructive feedback and deploy solutions across specific use cases.
Test and Validate new predictive models rigorously prior to deployment ensuring comprehensive documentation of methodologies performance metrics and key R&T lessons learned.
Communicate project status updates technical findings and strategic insights consistently to relevant internal and external stakeholders.

Required Education:
. / . in aerospace mechanical electrical or electronics engineering with minimum 2 years of relevant industrial experience

Required skills and expertise:
Proven practical experience or a strong academic background in building testing and deploying probabilistic AI/ML models.
Deep understanding of applied statistics and probability theory to ensure rigorous data interpretation and mathematical accuracy.
Demonstrated practical expertise in Python for data analysis and the creation of models.

Nice to Have
Ability to quickly grasp the technical intricacies of various aircraft systems and apply the right technological solutions to relevant problem statements.

Knowledge in aircraft systems: especially Hydraulics Fluid Mechanics and Model based simulation.

Skills in correlating physical component failure modes and degradation mechanisms into robust measurable data features

A self-motivated individual with a genuine interest in pioneering data science concepts within the aviation industry.
Strong team player motivated to collaborate and find synergies
Excellent analytical skills and proven ability to solve problems creatively

Job Disclaimer & Notifications

We bring to the notice of all concerned that Airbus Group India Pvt. Ltd (hereinafter referred to as AIG) follows a fair and merit-based employee selection and recruitment practice.

Airbus Group India does not:
Send job offers from free email services including but not limited to Gmail Rediffmail Yahoo mail Hotmail and others
Authorize anyone to either collect money or arrive at any monetary arrangement in return for a job at AIG
Charge / accept any form of consideration or security deposit from job seekers and applicants during any stage of the selection and/ or recruitment process
Request for your credit card number or bank account number

This job requires an awareness of any potential compliance risks and a commitment to act with integrity as the foundation for the Companys success reputation and sustainable growth.

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