to join an international project focused on developing and improving AI-powered document processing solutions.
In this role, you will work with
LLMs, Vision-Language Models, OCR, NLP and Machine Learning
to transform complex unstructured business documents into structured data.
You will collaborate with AI Engineers, Data Engineers, Product teams and business stakeholders to develop and evaluate solutions that deliver measurable business value.
If you enjoy solving complex Data Science challenges and experimenting with AI to solve real business problems, this could be your next challenge
What you'll do
Design and improve AI solutions for document extraction, classification, validation and transformation.
Experiment with
LLMs, multimodal models, OCR, NLP and Machine Learning
to identify the best approach for each use case.
Develop prompts, structured outputs, validation and post-processing logic for complex document formats.
Build datasets and evaluation frameworks to measure accuracy and continuously improve solution performance.
Develop automated evaluations and regression tests to ensure robustness when models or pipelines change.
Write clean, reusable
Python
code and translate successful experiments into production-ready solutions with AI and Data Engineers.
Work with Product and business stakeholders to define use cases, success criteria and measurable AI solutions.
Must Have
3+ years of experience
in Data Science, Machine Learning or Applied AI.
Hands-on experience with
LLMs and Generative AI , including prompt engineering and experimentation.
Strong understanding of
NLP, Machine Learning and statistics , including when classical or deterministic approaches are more appropriate than LLMs.
Experience working with
unstructured or semi-structured data , datasets, ground truth and evaluation metrics.
Strong
Python
skills and good practices around testing, vers
📌 DATA SCIENTIST – DOCUMENT INTELLIGENCE (Barcelona)
🏢 Capitole
📍 Barcelona
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Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.