Multimodal Data Scientist & LLM Engineer

UUG.AI

Gent

Hybride

EUR 90 000 - 130 000

Plein temps

Il y a 5 jours
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Résumé du poste

UUG.AI is building a platform that turns video events into actionable insights, with workflows for vision-language and LLM-based reasoning on top of a media pipeline. The team emphasizes production-grade experimentation, measurable performance, and clear uncertainty visibility.

The Data Scientist & LLM Engineer role focuses on turning data into dependable features, designing robust evaluations, and integrating with product and engineering teams to deliver reliable, scalable ML services.

Qualifications

  • Strong in Python and comfortable analysing data as well as building production software.
  • Practical experience with LLMs, vision-language models, retrieval, or adjacent applied-ML systems.
  • Ability to evaluate probabilistic systems beyond a few hand-picked examples.
  • Experience handling structured and unstructured data and reasoning about provenance, access, and data quality.
  • Clear communication of trade-offs and preference for simple, testable approaches.

Responsabilités

  • Build vision-language and LLM workflows for summarisation, event understanding, search, and operational automation.
  • Design evaluations, test sets, and feedback loops that measure quality, safety, latency, and cost.
  • Explore event and media metadata to identify patterns for new product capabilities.
  • Develop retrieval and context strategies across data, model results, and media evidence.
  • Productionise experiments as tested services or workflow stages with monitoring and clear failure behaviour.
  • Collaborate with product and engineering to scope problems and iterate from user feedback.

Connaissances

Python
LLMs
Vision-language
Retrieval
Data analysis
Communication

Outils

Production software

Description du poste

UUG.AI is building a platform that turns video events into actionable insights, with workflows for vision-language and LLM-based reasoning on top of a media pipeline. The team emphasizes production-grade experimentation, measurable performance, and clear uncertainty visibility.

The Data Scientist & LLM Engineer role focuses on turning data into dependable features, designing robust evaluations, and integrating with product and engineering teams to deliver reliable, scalable ML services.

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