We're looking for an

AI/ML Engineer

to join a integral leader in HR technology — a team

building Generative AI assistants

used across global markets.

This is a

hands-on engineering role

, where focus is

shipping GenAI/NLP models to production

in

Python

, working shoulder-to-shoulder with MLEs inside a lean 5–6 person squad across 3–4 projects. Building

production-ready GenAI/LLM features

— chatbot assistants and NLP systems, from prototype to production.
Writing

structured, quality Python

with real engineering discipline:

PR practices, Git, CI/CD, Docker

.
Designing

end-to-end NLP pipelines

— data processing, model development, evaluation, deployment.
Getting hands-on with

LLMs, embeddings and modern GenAI tooling

(OpenAI, AWS Bedrock).

Brings 3–5 years

of experience building

production features/systems with AI/ML

.
Writes

advanced, production-grade Python

— not notebook scripting.
Has worked on

real NLP / GenAI / LLM projects

and can explain them in depth — embeddings, evaluation metrics beyond accuracy,



how they assessed system performance.
Thinks like an

ML engineer

: moves models to production, understands the full pipeline, applies solid coding practices ( Git, PR, CI/CD, Docker ).
Knows their way around

ML libraries

(scikit-learn, PyTorch) and

data processing

(pandas).

Familiarity with

AWS infrastructure

(S3, Lambda, Bedrock).
Understanding of

data augmentation, bias and training pipelines

.
A

Software Engineering

background with a recent move into AI/ML.

Hybrid: 1–2 days in the office).
Language

: English C1 (Fluent, all team communication is in English).

An individual training budget of €1,200 for whatever you choose: events, books, certifications or courses.
Flexible working hours to balance your professional and personal life.
Private health insurance fully paid by Capitole.
Discounts on major brands for employees (Club Capitole).

Capitole | Empowering people, unlocking technology innovation

📌 Machine Learning Engineer, hibrido (Vitoria-Gasteiz)
🏢 Capitole
📍 Vitoria-Gasteiz