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Ingeniero/A Ml Platform & Mlops

Aktios Spain
Madrid, Spain
2 months ago
Apply on www.buscojobs.com.es
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.buscojobs.com.es

Tech stack

Continuous Integration DevOps Azure Machine Learning Machine Learning Operations

Job description

Aktios Spain busca un/a ML Platform Engineer para construir y escalar sistemas de IA/ML de extremo a extremo.El rol incluye operar plataformas como SageMaker y MLflow, implementar CI/CD y garantizar entornos eficientes.El candidato ideal debe tener experiencia en plataformas y DevOps, con un enfoque en confiabilidad, escalabilidad y automatización.Se ofrece un entorno de trabajo agradable y oportunidades de desarrollo profesional.#J-*****-Ljbffr

Requirements

El rol incluye operar plataformas como SageMaker y MLflow, implementar CI/CD y garantizar entornos eficientes.El candidato ideal debe tener experiencia en plataformas y DevOps, con un enfoque en confiabilidad, escalabilidad y automatización.

Benefits & conditions

Se ofrece un entorno de trabajo agradable y oportunidades de desarrollo profesional.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.buscojobs.com.es
Prepare application

Good distractions

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

Moments

Explore playlists

1:20 min

Navigating the components of Azure Machine Learning platform

Jose Luis Latorre Millas · LIVE

1:22 min

Analyzing differences between mobile and traditional backend DevOps

Mete Baydar Mete Baydar · World Congress 2025

51 sec

Continuous integration and continuous deployment core definitions

Chris Ayers · LIVE

4:57 min

Centralizing LLMOps workflows within Azure AI Foundry

Maxim Salnikov Maxim Salnikov · LIVE

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

3:27 min

Defining DevOps through its historical origins and foundational texts

Sonal Patil · LIVE

Videos

See all
Introduction to Azure Machine Learning thumbnail
54:27
LIVE • over 4 years ago

Introduction to Azure Machine Learning

Jose Luis Latorre Millas

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

Effective Machine Learning - Managing Complexity with MLOps

Simon Stiebellehner

Shifting Stress to Progress— Understanding DevOps to do DevOps Better thumbnail
37:46
LIVE • almost 5 years ago

Shifting Stress to Progress— Understanding DevOps to do DevOps Better

Sonal Patil

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

From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform thumbnail
22:57
World Congress 2026 Europe • 3 months ago

From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform

Dominik Krichbaum

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

DevOps for Machine Learning

Hauke Brammer

Related articles

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