Capitole keeps growing — and we want to do it with you!Si está considerando enviar una solicitud, asegúrese de pulsar el botón de solicitar de abajo después de leer la descripción completa.Were looking for anAI/ML Engineerto join a global leader in HR technology — a teambuilding Generative AI assistantsused across global markets.This is ahands-on engineering role , where focus isshipping GenAI/NLP models to productioninPython , 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 youll find here:Buildingproduction-ready GenAI/LLM features— chatbot assistants and NLP systems, from prototype to production.Writingstructured, quality Pythonwith real engineering discipline:PR practices, Git, CI/CD, Docker .Designingend-to-end NLP pipelines— data processing, model development, evaluation, deployment.Getting hands-on withLLMs, embeddings and modern GenAI tooling(OpenAI, AWS Bedrock).Were looking for someone who:Brings3–5 yearsof experience buildingproduction features/systems with AI/ML .Writesadvanced, production-grade Python— not notebook scripting.Has worked onreal NLP / GenAI / LLM projectsand can explain them in depth — embeddings,



evaluation metrics beyond accuracy, how they assessed system performance.Thinks like anML engineer : moves models to production, understands the full pipeline, applies solid coding practices ( Git, PR, CI/CD, Docker ).Knows their way aroundML libraries(scikit-learn, PyTorch) anddata processing(pandas).Nice to have:Experience withDatabricks.Familiarity withAWS infrastructure(S3, Lambda, Bedrock).Understanding ofdata augmentation, bias and training pipelines .ASoftware Engineeringbackground 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.Adaptable 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). xkdbapo Discounts on major brands for employees (Club Capitole). Dont know us yet? Come discover us! ( )See what people say about usGlassdoor ( )Capitole | Empowering people, unlocking technology innovation

📌 Machine Learning Engineer (GenAI NLP) (Barcelona)
🏢 Capitole
📍 Barcelona