Data Scientist & LLM Engineer

UUG.AI turns camera streams into useful, real-time signals for operations teams. As a Data Scientist & LLM Engineer, you turn recordings, detections, tracks, events and operational context into dependable product features. Build evaluated, observable language and vision-language workflows that help users understand what happened.

Your responsibilities:

- Build vision-language and LLM workflows for summarisation, event understanding, search and operational automation.

- Design evaluations, test sets and feedback loops measuring quality, safety, latency and cost.

- Explore event and media metadata to identify patterns that can become product capabilities.

- Develop retrieval and context strategies across structured data, model results and selected media evidence.

- Productionise experiments as tested services or workflow stages, with monitoring and clear failure behaviour.

- Collaborate with product and engineering colleagues to scope problems and iterate from feedback.

Full-time role with hybrid collaboration from Ghent, Belgium.

Strong Python skills and the ability to analyse data and build production software. Practical experience with LLMs, vision-language models, retrieval or adjacent applied-ML systems. Ability to evaluate probabilistic systems beyond hand-picked examples. Comfortable with structured and unstructured data, provenance, access and data quality. Clear communication of trade-offs and a preference for simple, testable approaches.

Helpful, not all required: RAG, tool use, agent harnesses and structured output; multimodal text/image/video models; MongoDB aggregation, vector search or large event datasets; evaluation tooling, observability and prompt versioning; media pipelines, computer vision or time-series analytics. Relevant skills and practical experience matter; no mandatory diploma or fixed number of years.