Machine Learning Engineer (GenAI & NLP)

Capitole; Cataluña; Presencial; EUR 65.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Training budget

Regular feedback

Flexible hours

Private health insurance

Meal/Transport/Childcare vouchers

WellHub

Employee discounts

Descripción de la vacante

Capitole is seeking an AI/ML Engineer to shipping GenAI/NLP models to production in Barcelona, with a hands‑on, end‑to‑end engineering mindset. You will work in a small squad on multiple projects, focusing on production features and real deployment.

You will use Python with tools like PyTorch, scikit-learn and Docker, collaborating across teams to deliver robust NLP pipelines, embeddings, and evaluation metrics beyond accuracy. English communication is required.

Formación

• 3–5 years of experience building production AI/ML features and systems.
• Writes advanced, production-grade Python code, not notebook scripts.
• Has shipped real NLP/GenAI/LLM projects and can explain embeddings and evaluation metrics beyond accuracy.
• Understands the full model-to-production pipeline and applies solid coding practices (Git, PRs, CI/CD, Docker).

Responsabilidades

• Build production-ready GenAI/LLM features (chatbot/NLP systems) from prototype to production.
• Write structured, high-quality Python with CI/CD, Git, and Docker discipline.
• Design end-to-end NLP pipelines including data processing, model development, evaluation and deployment.

Conocimientos

Production AI/ML features

Advanced Python

NLP/GenAI experience

Model deployment

End-to-end ML pipelines

Herramientas

scikit-learn

PyTorch

pandas

Git

CI/CD

Docker

OpenAI

AWS Bedrock

Databricks

Descripción del empleo

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

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).
• 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