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Ingeniero/A Ml Platform & Mlops

Aktios Spain
Madrid, Spain
14 days ago

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

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

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · WWC Europe 2026

4:57 min

Centralizing LLMOps workflows within Azure AI Foundry

Maxim Salnikov Maxim Salnikov · LIVE

51 sec

Continuous integration and continuous deployment core definitions

Chris Ayers · LIVE

5:28 min

Defining MLOps and its role in production systems

Hauke Brammer · WWC 2023

3:18 min

Scaling global network engineering through DevOps culture

Stuart Clark · 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

From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform thumbnail
22:57
WWC Europe 2026 • about 1 month ago

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

Dominik Krichbaum

Effective Machine Learning - Managing Complexity with MLOps thumbnail
45:45
WWC 2021 • about 5 years ago

Effective Machine Learning - Managing Complexity with MLOps

Simon Stiebellehner

100 times more frequent deployments: How did we create a high performance team? thumbnail
27:31
WWC 2024 • almost 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
WWC 2021 • about 5 years ago

DevOps for Machine Learning

Hauke Brammer

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents thumbnail
26:58
WWC 2025 • 12 months ago

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents

Dr. Alexander Wachtel, Hanna Schwab

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