Machine Learning Engineer (GenAI & NLP) Capitole valència, comunidad valenciana, Spain Descripción del trabajo Capitole keeps growing — and we want to do it with you!¿Quiere enviar su solicitud? Lea toda la información sobre este puesto a continuación y luego pulse el botón de solicitar. 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 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. 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). xbhjioe 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 #J-18808-Ljbffr

📌 ? Machine Learning Engineer (Genai/Llm/Rag)? (Alboraya)
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