Job Description:
The new Airbus UpNext demonstrator will pave the way to smart automations capabilities by integration of new innovative bricks such as computer vision, data fusion and machine learning. The goal is to help the pilot and facilitate his/her mission.
The new Airbus UpNext demonstrator team is looking for a Machine Learning Engineer to assist the Development and Integration of ML algorithms into a Cloud Based Architecture.
This position comes with a CDI-C contract for 3 years, the timeline of the demonstrator.
Your missions
The Project aims to further improve the autonomy and safety of aircrafts through the development and integration of new technical bricks. Among them are several functional concepts to provide assistance to the crew.
Those functions will aim to help pilots during multiple aspects of flight, notably by reducing workload and offering optimization solutions.
You will be part of a small team conceiving Machine Learning models to support some of those functionalities. Namely time prediction models, based on aircraft mission and contextual data.
Your role will be to contribute to the full development pipeline, from the data management and analysis to the final integration in a cloud based service.
Furthermore an important aspect of UpNext demonstrators is the high diversity of expertises, profiles & tasks. Hence curiosity and open mindedness is important, as an intricate collaboration with the team is required.
As a Machine Learning Engineer, you will be required to:
Handle Aircraft Operations datasets and identify the key parameters for the desired functionalities
Contribute to the development and prototyping of ML models for temporal prediction
Deploy said models in a cloud based environment (Azure, AWS)
Your boarding pass
What you bring
- Hands on experience in conceiving and developing Machine Learning models for temporal prediction
Strong developers skills (C, C&43;&43;, Python)
Knowledge of ML libraries (Tensorflow, PyTorch)
Experience with cloud services for ML and Data management (AWS, Azure)
Aeronautical knowledge is a plus
Communication and collaboration skills, with the ability to work effectively with cross-functional teams
Negotiation level in English is required
Ready to step out of your comfort zone
Team-Player mindset
Values of transparency, courage, humility, empathy
What you get
Participate to the smart automations revolution
An environment that not only fosters your development in many ways, but also rewards it with plenty of room to grow
A shared open space office with highly skilled multicultural teams
Ability to craft your calendar with flexible hours/Opportunity to work remotely
UpNext communities bonding events
A high-achieving, experienced and fun team
About us:
Founded in 2017, Airbus UpNext is actively shaping the future of aerospace by using demonstrators to evaluate, mature and validate new products and services.
Designed as a talent incubator, Airbus UpNext is a place where you can act and think like a startup while building on the strong expertise of Airbus, a place where you are empowered to challenge and test new processes and ways of working.
Our purpose is:
To identify the trends that could disrupt the future of the aerospace industry and evaluate them to demonstrate their potential as a viable product.
To accelerate traditional research cycles and prototype development to achieve proof of concept in a real environment and at a convincing scale and speed.
To develop real-world applications for emerging aerospace technologies, thereby driving their maturity and increasing their value.
To be THE reference for Technology Value Assessment
Our Values: Keep it Simple Be Audacious Exploring Together
Our DNA: Speed of Execution, Caring for Each Other, Open to the World
This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.
Company:
Airbus ExO Autonomy SASEmployment Type:
Fixed term-------
Experience Level:
ProfessionalJob Family:
Manufacturing Engineering By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom&64;airbus.com.
At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.
