Machine Learning Engineer (GenAI & NLP)

Capitole; Barcelona; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

€1,200 training budget

Monthly team check-ins

Flexible working hours

Flexible compensation: meal, transport

Club Capitole employee discounts

Descripción de la vacante

Capitole is hiring an AI/ML Engineer to ship GenAI/NLP models to production in Python. You will join a lean squad working across 3–4 projects, from prototype to production, focusing on tangible, production-grade features.

Expect hands-on coding, embeddings, and modern GenAI tooling with OpenAI and AWS Bedrock. The role requires 3–5 years building production AI/ML features, deep Python expertise beyond notebooks, and the ability to explain NLP/GenAI projects end-to-end.

Formación

• 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 ML libraries (scikit-learn, PyTorch) and data processing (pandas).

Responsabilidades

• 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).

Conocimientos

AI/ML Engineering

NLP/GenAI

Python

Embeddings

Model Deployment

Git

CI/CD

Docker

PyTorch

scikit-learn

Pandas

Herramientas

Databricks

AWS Bedrock

OpenAI

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.
• 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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