Attractive salary; not specified; benefits: vacati...
Hybrid
3+ years machine learning engineering experience
Production deployment of large language models
Python programming proficiency
The role focuses on optimizing the efficiency, scalability, and latency of Generative AI systems for Airbus Defence & Space
Job Summary
The role focuses on optimizing the efficiency, scalability, and latency of Generative AI systems for Airbus Defence & Space.
Candidates will design Retrieval-Augmented Generation workflows to enable accurate querying of private information within military avionics contexts.
Employees receive benefits including attractive salary, hybrid working options, health insurance, and extensive upskilling opportunities in a multicultural environment.
Matching Summary
The role focuses on optimizing the efficiency, scalability, and latency of Generative AI systems for Airbus Defence & Space.
Salary
Attractive salary; Not specified; Benefits: Vacation days, health insurance, stock options, retirement plan, study grants, free canteen
Skills & Requirements
Must-have
3+ years Machine Learning Engineering experience
Production deployment of Large Language Models
Python programming proficiency
RAG system architecture design
Vector database implementation
GPU resource optimization techniques
Nice-to-have
Military avionics domain knowledge
Model quantization and weight reduction
Long-context window management
Kubernetes container orchestration
Air-gapped environment security
Fine-tuning and training language models
Key Requirements
Degree in Computer, Telecomunications, Maths or Software Engineering
B2 level English proficiency
Solid experience in applied Artificial Intelligence