Machine Learning Engineer (Genai & Nlp)

Capitole; Valencia; Híbrido; EUR 50.000 - 80.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Budget de formación de 1200€

Check-ins mensuales

Horas flexibles

Seguro médico privado

Vales de comida/transporte/guardería

Descuentos Club Capitole

Descripción de la vacante

Capitole search un Ingeniero de Machine Learning para trabajar en GenAI y NLP. Rol práctico, con foco en llevar modelos a producción en Python y construir pipelines de NLP, desde datos hasta despliegue.

Trabajarás en una squad de 5–6 personas, con herramientas como OpenAI/AWS Bedrock, Docker y CI/CD. Requisitos: 3–5 años, Python avanzado, experiencia en NLP/GenAI y inglés fluido. Ubicación híbrida: Barcelona.

Formación

• 3–5 años de experiencia construyendo características/soluciones de producción con IA/ML.
• Python avanzado para producción, no solo notebooks.
• Experiencia en proyectos reales de NLP/GenAI/LLM; embeddings y métricas de evaluación más allá de la precisión.
• Enfoque de ingeniería de software con pipelines completos (Git, PR, CI/CD, Docker).
• Conocimiento de librerías ML (scikit-learn, PyTorch) y procesamiento de datos (pandas).

Responsabilidades

• Construir características GenAI/LLM en producción desde prototipo hasta producto.
• Escribir Python estructurado con prácticas de ingeniería y CI/CD.
• Diseñar pipelines end-to-end de NLP (datos, entrenamiento, evaluación, despliegue).
• Llevar modelos a producción y gestionar el pipeline completo en un squad pequeño.

Conocimientos

Production AI/ML

Python

NLP GenAI

Git CI/CD

PyTorch

Pandas

Docker

Databricks

AWS

OpenAI Bedrock

Herramientas

Git

CI/CD

Docker

Databricks

AWS

OpenAI

Descripción del empleo

Machine Learning Engineer (GenAI & NLP) Capitole valència, comunidad valenciana, Spain

Descripción del trabajo

Capitole keeps growing — and we want to do it with you!

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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.
• 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). xbhjioe
• Discounts on major brands for employees (Club Capitole).

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