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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy scalable end-to-end data and AI solutions on Skywise / Palantir Foundry and cloud platforms to support Airbus operations.
Translate business needs into predictive models, machine learning applications, and automation workflows to drive operational improvements and user experience enhancements.
Manage full lifecycle of data applications including design, deployment, testing, support, and continuous improvement aligned with Airbus Digital Workplace objectives.
Minimum Requirements
4 to 7 years of hands-on experience building, deploying, and scaling data pipelines, ML models, and automation systems.
Bachelor's or Master's degree in Data Science, Computer Science, AI, Applied Mathematics, Statistics, or related quantitative field.
Proven expertise with Skywise / Palantir Foundry, AWS or GCP cloud platforms, ServiceNow, and advanced programming skills in Python and SQL.
Mandatory cloud or AI certification (e.g., Google Cloud Professional ML Engineer, AWS Certified AI/ML Specialist) required.
Ideal Candidate Profile
Experienced in managing production-grade AI/ML workflows within large-scale aerospace or industrial environments with focus on operational performance.
Comfortable working in cross-functional Agile teams collaborating with product owners and European leadership to deliver measurable business outcomes.
Skilled in advanced data engineering, behavioral analytics, intelligent automation, and maintaining governance/security compliance in cloud and hybrid environments.