Capitole keeps growing — and we want to do it with you!
Asegúrese de leer detenidamente la información sobre esta oportunidad antes de presentar su candidatura.
We're looking for an AI/ML Engineer to join a global 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 Gen AI/NLP models to production in Python , working shoulder-to-shoulder with MLEs inside a lean 5–6 person squad across 3–4 projects. If you code your ML solutions yourself rather than leaning on out-of-the-box Auto ML tools, and you like owning the technical solution end-to-end, this is for you.
What you'll find here: Building production-ready Gen AI/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 Gen AI tooling (Open AI, AWS Bedrock).
We're looking for someone who: 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 / Gen AI / 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, Py Torch) and data processing (pandas). Nice to have: Experience with Databricks. 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.
Location: Barcelona. (Hybrid: 1–2 days in the office). Language : English C1 (Fluent, all team communication is in English).
Why CAPITOLE? An individual training budget of €1,200 for whatever you choose: events, books, certifications or courses.
Monthly check-ins with your team for continuous feedback.
Flexible working hours to balance your professional and personal life. Private health insurance fully paid by Capitole.
Versátil compensation: meal, transport and/or childcare vouchers.
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📌 Machine learning engineer (genai & nlp) (Santander)
🏢 Capitole
📍 Santander