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Remote Mlops Platform Engineer - Databricks & Azure

Soltel
Burgos, Spain
15 days ago
Apply on www.buscojobs.com.es
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
5 years minimum
Working hours
Regular working hours
Languages
English
Job source
www.buscojobs.com.es

Tech stack

Artificial Intelligence Microsoft Azure Continuous Integration Kubernetes Machine Learning Operations Terraform Databricks

Job description

SOLTEL Group en España busca un/a MLOps Platform Engineer para diseñar y operar una plataforma de IA self-service basada en Databricks Mosaic AI, MLflow y Azure.Puede obtener más detalles sobre la naturaleza de esta vacante y lo que se espera de los solicitantes leyendo la información a continuación.Ubicación: 100% remoto desde España.Requisitos: +5 años en MLOps/SRE, experiencia con Databricks, MLflow y Azure; Terraform, Kubernetes; CI/CD; inglés B2+.Ofrecemos tecnologías punteras, horarios flexibles y crecimiento profesional dentro de un equipo internacional.xcskxlj#J-*****-LjbffrHay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.

Requirements

Requisitos: +5 años en MLOps/SRE, experiencia con Databricks, MLflow y Azure; Terraform, Kubernetes; CI/CD; inglés B2+.

Benefits & conditions

Ofrecemos tecnologías punteras, horarios flexibles y crecimiento profesional dentro de un equipo internacional.

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

1:34 min

Essential commands for running and testing Terraform configurations

Hennie Francis · LIVE

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · World Congress 2022

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

4:57 min

Centralizing LLMOps workflows within Azure AI Foundry

Maxim Salnikov Maxim Salnikov · LIVE

2:32 min

Overview of Terraform and Terraform Cloud features

Devlin Duldulao · LIVE

2:44 min

Defining core roles and responsibilities in MLOps teams

Bas Geerdink · LIVE

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

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source thumbnail
29:50
World Congress 2026 Europe • 2 months ago

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source

Viktoria Semaan

Understanding Kubernetes in a visual way thumbnail
29:05
World Congress 2026 Europe • 2 months ago

Understanding Kubernetes in a visual way

Aurélie Vache

Infrastructure as Code: The Developer's Secret Weapon thumbnail
45:04
LIVE • almost 2 years ago

Infrastructure as Code: The Developer's Secret Weapon

Hennie Francis

OLTP in the Lakehouse: Redefining Data for AI Workloads thumbnail
24:36
Europe 2026 Virtual • 3 months ago

OLTP in the Lakehouse: Redefining Data for AI Workloads

Oleksandra Bovkun

The state of MLOps - machine learning in production at enterprise scale thumbnail
47:19
LIVE • over 4 years ago

The state of MLOps - machine learning in production at enterprise scale

Bas Geerdink

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