Machine Learning Engineer

Capitole; España; Híbrido; EUR 65.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Training budget

Monthly check-ins

Flexible hours

Meal/Transport/Childcare vouchers

Employee discounts

Descripción de la vacante

Capitole is seeking a hands-on Machine Learning Engineer to shipping GenAI/NLP models to production in Python. You’ll work in a lean 5–6 person squad on 3–4 projects, owning the technical solution end-to-end with a focus on production-ready GenAI features.

The role requires 3–5 years of production AI/ML experience, strong Python, and experience with NLP/LLM projects. Hybrid work in Barcelona, with English for team communication; training budgets and flexible hours are offered.

Formación

• 3–5 years of production AI/ML experience.
• Advanced Python development; production-grade code, not notebook scripts.
• Experience with NLP/GenAI/LLM projects; discuss embeddings and evaluation metrics.
• Familiar with Git, CI/CD and Docker; understands end-to-end pipelines.
• Experience with ML libraries (scikit-learn, PyTorch) and data processing (pandas).

Responsabilidades

• Build production-ready GenAI/LLM features for chatbots and NLP systems.
• Ship GenAI/NLP models to production in a fast-moving squad.
• Collaborate with MLEs to own technical solutions end-to-end.
• Maintain coding discipline and CI/CD pipelines across projects.

Conocimientos

Production AI/ML experience

NLP/GenAI/LLM projects

End-to-end ML deployment

Herramientas

Python

scikit-learn

PyTorch

pandas

Git

Docker

CI/CD

OpenAI

AWS Bedrock

Databricks

Descripción del empleo

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

We're looking for an Machine Learning Engineer #MLEto 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.
• 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).

• 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.
• Flexible compensation: meal, transport and/or childcare vouchers.
• Discounts on major brands for employees (Club Capitole).

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