Machine Learning Engineer at Airbus developing AI solutions for aircraft products. Focus on embedded systems for computer vision applications.
Responsibilities
Develop software solutions for advanced AI targeting aircraft products and ways of working, with a focus on embedded systems for computer vision (Cockpit)
Productionize: turn experimental code into production-ready pipelines optimized for embedded systems
Ensure communication and alignment with internal and external stakeholders, including Programs, R&T, Engineering, and IT
Collaborate: Partner with Data Scientists and aircraft system engineers on model architecture and implementation
Contribute to the vision and strategy for AI-based solutions and improvements for Aircraft Systems, Services, and Ways of Working
Coach students and engineers around AI applications, data-driven mindset, and agile ways of working
Requirements
Master degree in Data Science, Artificial Intelligence or equivalent
Minimum of 1 year experience in development of solutions based on Advanced Statistics, Machine Learning & Deep Learning methods, preferably around computer vision
Experience in industrialization and implementation of AI solutions in a production environment
Expertise in Machine Learning algorithms & tools linked to supervised, un supervised, and reinforcement learning
Knowledge and experience in computer vision applications is a big plus
Experience with MLOps/DevOps methods and cloud infrastructure
Proficiency in development environments & programming languages like Python, PySpark, Linux Shell Scripting, and NoSQL databases
English Negotiation level
Knowledge of French or German would be a plus
Benefits
Attractive salary
Agreements on success and profit sharing schemes
Employee savings plan abounded by Airbus
Employee stock purchase plan on a voluntary basis
Extra days-off for special occasions
Holiday transfer option
Staff council offering many social, cultural and sport activities and other services
Complementary health insurance coverage (disability, invalidity, death)
Depending on the site: health services center, concierge services, gym, carpooling application
Great upskilling opportunities and development prospects with unlimited access to +10.000 e-learning courses to develop your employability
Certifications, expert career path, accelerated development programmes, national and international mobility
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