Ingeniero/a de Machine Learning

Capitole

Spain

about 1 month ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.jobleads.com

Tech stack

Python (Programming Language) NumPy Recommender Systems SQL Databases Delivery Pipeline Pandas Scikit Learn Machine Learning Operations Docker

Job description

Capitole está buscando un/a Ingeniero/a de Machine Learning para un equipo de datos en expansión. Diseñar, entrenar y desplegar modelos predictivos orientados a pricing dinámico, personalización y forecast de demanda en entornos retail de alto volumen.

Requirements

Requiere dominio de Python (pandas, scikit-learn, numpy) y SQL avanzado, experiencia en pipelines CI/CD con Docker y herramientas de tracking como MLflow o Weights & Biases. Se valorará experiencia en cloud y sistemas de recomendación.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

2:34 min

Maximizing execution memory effectively via python numpy broadcasting

Jodie Burchell · LIVE

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz

Oliver Seitz · World Congress 2025

2:03 min

Accelerating pandas dataframes using cudf module plugins

Ankit Patel

Ankit Patel · World Congress 2024

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

1:25 min

Replacing NumPy with cuPy for straightforward GPU acceleration

Paul Graham

Paul Graham · World Congress 2025

Videos

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Docker Compose: Rediscovered thumbnail

Europe 2026 Virtual • 3 months ago

Docker Compose: Rediscovered

Matthieu Vincent

Advanced Typing in TypeScript thumbnail

World Congress 2022 • over 4 years ago

Advanced Typing in TypeScript

Lars Hupel

Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast. thumbnail

LIVE • over 3 years ago

Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.

Jodie Burchell

How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale) thumbnail

World Congress 2023 • almost 3 years ago

How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)

Dora Petrella

Data Science on Software Data thumbnail

World Congress 2021 • about 5 years ago

Data Science on Software Data

Markus Harrer

Data Science in Retail thumbnail

LIVE • over 3 years ago

Data Science in Retail

Julian Joseph

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