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Ingeniero de Data Infrastructure & MLOps

Doodle
Madrid, Spain
22 days 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

Continuous Integration Python (Programming Language) SQL Databases Machine Learning Operations

Job description

Doodle busca un Ingeniero de Data Infrastructure & MLOps para diseñar, construir y operar las plataformas que permiten data engineering, analytics y ML en la empresa. Colaborarás estrechamente con equipos de producto, ingeniería, datos y seguridad para hacer que los datos sean más accesibles y los modelos más fáciles de desplegar.

Requirements

El rol requiere experiencia en data engineering, plataforma o MLOps, dominio de Python y SQL y experiencia con infraCloud, contenedores, CI/CD y herramientas como

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Good distractions

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

Moments

Explore playlists

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

51 sec

Continuous integration and continuous deployment core definitions

Chris Ayers · LIVE

4:25 min

Optimizing agricultural practices through automated machine learning operations

Simi Olabisi · LIVE

2:44 min

Defining core roles and responsibilities in MLOps teams

Bas Geerdink · LIVE

1:36 min

Evolution from key-value stores to distributed SQL

Wei Hu Wei Hu · World Congress 2025

2:03 min

Integrating infrastructure enablers for LLMOps operations ecosystems

Anshul Jindal Anshul Jindal · World Congress 2025

Videos

See all
Effective Machine Learning - Managing Complexity with MLOps thumbnail
45:45
World Congress 2021 • about 5 years ago

Effective Machine Learning - Managing Complexity with MLOps

Simon Stiebellehner

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases thumbnail
32:46
World Congress 2024 • about 2 years ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

100 times more frequent deployments: How did we create a high performance team? thumbnail
27:31
World Congress 2024 • about 2 years ago

100 times more frequent deployments: How did we create a high performance team?

Mesut Ayata

DevOps for Machine Learning thumbnail
44:40
World Congress 2021 • about 5 years ago

DevOps for Machine Learning

Hauke Brammer

MLOps - What’s the deal behind it? thumbnail
29:24
World Congress 2022 • over 4 years ago

MLOps - What’s the deal behind it?

Nico Axtmann

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases thumbnail
28:41
World Congress 2025 • about 1 year ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

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