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Remote Mlops Platform Engineer - Databricks & Azure

Soltel
Pontevedra, Spain
16 days 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
Languages
English
Job source
www.buscojobs.com.es

Tech stack

Artificial Intelligence Microsoft Azure Continuous Integration Kubernetes Machine Learning Operations Databricks

Job description

Soltel Group está buscando un/a MLOps Platform Engineer para unirse a un proyecto internacional centrado en una plataforma self-service para IA, basada en Databricks Mosaic AI, MLflow y Azure.Se busca experiencia en construir y operar plataformas de IA en producción y gestión de pipelines de ML.Ubicación 100% remoto desde España, con CVs en inglés obligatorio.Se valoran habilidades en CI/CD, Kubernetes y observabilidad, con foco en SRE aplicado a ML/IA.#J-*****-Ljbffr

Requirements

Se valoran habilidades en CI/CD, Kubernetes y observabilidad, con foco en SRE aplicado a ML/IA.

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

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

1:06 min

Outline of free tools for Microsoft Azure

Radu Vunvulea Radu Vunvulea · World Congress 2022

4:57 min

Centralizing LLMOps workflows within Azure AI Foundry

Maxim Salnikov Maxim Salnikov · LIVE

4:04 min

Overview of Kubernetes operators and custom resource definitions

Philipp Krenn · World Congress 2022

1:34 min

Pivoting careers into specialized platform engineering roles

Xavier Portilla Edo · 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

Developer Tools for Microsoft Azure thumbnail
25:41
World Congress 2022 • over 4 years ago

Developer Tools for Microsoft Azure

Radu Vunvulea

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

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

LLMOps-driven fine-tuning, evaluation, and inference with NVIDIA NIM & NeMo Microservices thumbnail
29:20
World Congress 2025 • about 1 year ago

LLMOps-driven fine-tuning, evaluation, and inference with NVIDIA NIM & NeMo Microservices

Anshul Jindal

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