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# Machine Learning Engineer

- **Company:** Capitole
- **Location:** Zaragoza, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Continuous Integration, Python (Programming Language), Machine Learning, OpenAI, Data Processing, Pytorch, Large Language Models, Generative AI, Git, Pandas, AutoML, Scikit Learn, Data Augmentation, Docker, Databricks
- **Published:** October 12, 2026
- **Apply:** https://www.buscojobs.com.es/machine-learning-engineer-en-zaragoza-ID-374184887

## About the Role

Experience with
Databricks.
Familiarity with
AWS infrastructure
(S3, Lambda, Bedrock).
Understanding of
data augmentation, bias and training pipelines, English C1 (Fluent, all team communication is in English).

## Description

Capitole keeps growing - and we want to do it with you!We're looking for anMachine Learning Engineer#MLEto join a global leader in HR technology, a teambuilding Generative AI assistantsused across global markets.This is ahands-on engineering role, where focus isshipping GenAI/NLP models to productioninPython, 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 likeowning the technical solution end-to-end, this is for you.What you'll find here:Buildingproduction-ready GenAI/LLM features(chatbot assistants and NLP systems, from prototypeto production).Writingstructured, quality Pythonwith real engineering discipline:PR practices, Git, CI/CD, Docker.Getting hands-on withLLMs, embeddings and modern GenAI tooling(OpenAI, AWS Bedrock).We're looking for someone who:Brings3-5 yearsof experience buildingproduction features/systems with AI/ML.Writesadvanced, production-grade Python- not notebook scripting.Has worked onreal NLP / GenAI / LLM projectsand can explain them in depth (embeddings, evaluation metrics beyond accuracy, how they assessed system performance).Thinks like anML engineer: moves models to production, understands the full pipeline, applies solid coding practices (Git, PR, CI/CD, Docker).Knows their way aroundML libraries(scikit-learn, PyTorch) anddata processing(pandas).Nice to have:Experience withDatabricks.Familiarity withAWS infrastructure(S3, Lambda, Bedrock).Understanding ofdata augmentation, bias and training pipelines.ASoftware Engineeringbackground 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).Capitole | Empowering people, unlocking technology innovation#J-*****-Ljbffr