Tech Data Automation Specialist - Knowledge Systems & Machine Learning
AIRBUS DS GEO SA
India
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Knowledge graph development with typedb or neo4j
Machine learning pipeline architecture and deployment
Generative ai and large language model integration
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Airbus DS GEO SA is seeking a Tech Data Automation Specialist specializing in Knowledge Systems and Machine Learning to enhance aircraft maintenance documentation and support initiatives for process automation. The role involves developing advanced databases, machine learning pipelines, and contributing to AI projects, requiring strong technical skills in database development and machine learning frameworks.
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Job Summary
The role focuses on developing advanced, logically-driven databases and end-to-end AI pipelines to support safe aircraft operations.
Candidates will build hybrid AI systems that integrate structured knowledge bases with modern predictive models and Generative AI techniques.
This position is part of Airbus Customer Services' mission to prepare for future process automation under the 'Efficient TechData cornerstone' initiative.
Matching Summary
Match Score: 75
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Airbus DS GEO SA is seeking a Tech Data Automation Specialist specializing in Knowledge Systems and Machine Learning to enhance aircraft maintenance documentation and support initiatives for process automation. The role involves developing advanced databases, machine learning pipelines, and contributing to AI projects, requiring strong technical skills in database development and machine learning frameworks.
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Skills & Requirements
Must-have
Knowledge Graph development with TypeDB or Neo4j
Machine Learning pipeline architecture and deployment
Generative AI and Large Language Model integration
Full-stack development including GUI frontends
Python programming for data engineering
Nice-to-have
Experience in aerospace or automotive digital transformation
Familiarity with Hierarchical Task Networks (HTN)
Expert system design experience
MLOps tools like MLflow or Kubeflow
Cloud AI platform proficiency
Key Requirements
Bachelor's or Master's degree in Computer Science Engineering
4-8 years of professional software engineering or data-focused experience
Proficiency in knowledge representation principles
Hands-on experience with Scikit-learn, TensorFlow, or PyTorch