We are looking for the person who can turn playing with LLMs into designing generative AI products that work, scale, and improve how work is done in the real world.

Who are we?

At PROCESIA we build solutions where generative AI stops being hype and becomes assistants, intelligent search engines, automations and services that are used every day.

The challenge: Data Scientist Generative AI

This role is about designing how AI thinks within our products: what information it consults, how it combines it, how it responds, and how we improve its behavior with real data.

It's not just a job of training models; it's an impactful role, very closely tied to the product, architecture, and user experience.

What we would like to find in you:
- A solid track record in IT projects (around 7 years or more) and several of them focused on data and artificial intelligence.
- At least 5 years participating in analysis, design and development of systems that work with large volumes of information or AI solutions.
- Complete confidence in Python and its data ecosystem: pandas, numpy,



scikit-learn, visualization with matplotlib/seaborn and intensive use of notebooks.
- Real-world experience building APIs and services around models (FastAPI/Flask, OpenAPI/Swagger, CI/CD, Docker, Kubernetes).
- Several projects under your belt with generative AI : RAG architectures, GPT-type models, LLaMa or Mistral, Transformers, fine-tuning, embeddings and metrics to evaluate LLMs.

What will your day-to-day life be like?

Instead of being in a data tower, you'll work very closely with development and architecture, from idea to deployment.
- You will design RAG-based generative AI solutions: deciding how the index is built, what context is retrieved, and how the LLM call is orchestrated.
- You will prepare and understand the data (structured and unstructured), defining the transformations they need to feed the generative models.
- You will test, compare and adjust large models (GPT, LLaMa, Mistral),

📌 Data Scientist IA Generativa (Madrid)
🏢 PROCESIA
📍 Madrid