Capitole keeps growing — and we want to do it with you!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. If you code your ML solutions yourself rather than leaning on out-of-the-box AutoML tools, and you like owning the technical solution end-to-end, this is for you.What you'll find here: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).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 / 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).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.Flexible compensation: meal, transport and/or childcare vouchers.WellHub (Gymforless).Discounts on major brands for employees (Club Capitole).Don't know us yet? Come discover us! ()See what people say about us Glassdoor ()Capitole | Empowering people, unlocking technology innovation

📌 Machine Learning Engineer (Castro Urdiales)
🏢 Capitole
📍 Castro Urdiales