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Multilingualism, translation and language-based AI services

AI engineer at DG Translation

What AI engineers do

  • develop and improve AI and language technology applications (including machine translation and speech and text analysis) in cooperation with language departments and technical teams 
  • analyse and improve the quality and performance of machine translation systems
  • develop, test and maintain software and AI models
  • provide technical advice and support to colleagues and users of AI and language technology services
  • contribute to documentation and knowledge sharing, and to relevant projects, working groups and events

Tools AI engineers use

  • machine translation and other AI-based language technology systems
  • programming languages and software development tools
  • machine learning and language-processing frameworks and tools
  • multilingual and monolingual language datasets and corpora
  • specialised graphics processing unit (GPU) and supercomputing hardware infrastructure

Skills that matter

  • Language and technical expertise
    • knowledge of language technology
    • programming and software development skills
    • data analysis and data management skills
    • ability to analyse complex problems and develop practical solutions
  • Personal skills
    • curiosity and willingness to learn
    • problem-solving and initiative
    • ability to communicate complex information clearly
    • teamwork and collaboration
    • adaptability and openness to new technologies

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This page was last updated on 25 August 2026