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# Machine Learning Engineer (Genai & Nlp)

- **Company:** Jobrapido
- **Location:** Nava, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Continuous Integration, Python (Programming Language), Machine Learning, Software Engineering, Data Processing, Pytorch, Large Language Models, Generative AI, Git, Pandas, Scikit Learn, Docker
- **Published:** August 20, 2026
- **Apply:** https://www.buscojobs.com.es/machine-learning-engineer-genai-nlp-en-nava-ID-367958784

## About the Role

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).

## Description

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.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).xqbhyrx 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