We're looking for an AI/ML Engineer to join a global leader in HR technology — a team building Generative AI assistants used across general 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.xbhjioe Discounts on major brands for employees (Club Capitole).See what people say about us Glassdoor ()Capitole | Empowering people, unlocking technology innovation

📌 Machine Learning Engineer (Valencia)
🏢 Capitole
📍 Valencia