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Ai Platform / Mlops Engineer

agap2
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

Artificial Intelligence Amazon Web Services Machine Learning Kubernetes Machine Learning Operations Databricks

Job description

Buscamos un Ingeniero/a MLOps para liderar la evolución de una plataforma de Machine Learning global.Construirás y mantendrás infraestructura de ML robusta y escalable, diseñarás pipelines en Databricks y gestionarás despliegues en Kubernetes.Se requiere experiencia en MLOps, AWS y Kubernetes.

Requirements

Se requiere experiencia en MLOps, AWS y Kubernetes.

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

2:44 min

Defining core roles and responsibilities in MLOps teams

Bas Geerdink · LIVE

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · WWC 2022

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · WWC Europe 2026

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

4:04 min

Overview of Kubernetes operators and custom resource definitions

Philipp Krenn · WWC 2022

Videos

See all
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

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

Introduction to Azure Machine Learning

Jose Luis Latorre Millas

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source thumbnail
29:50
WWC Europe 2026 • about 1 month 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
WWC Europe 2026 • about 1 month ago

Understanding Kubernetes in a visual way

Aurélie Vache

MLOps on Kubernetes: Exploring Argo Workflows thumbnail
31:02
WWC 2023 • almost 3 years ago

MLOps on Kubernetes: Exploring Argo Workflows

Hauke Brammer

What non-automotive Machine Learning projects can learn from automotive Machine Learning projects thumbnail
48:01
WWC 2022 • about 4 years ago

What non-automotive Machine Learning projects can learn from automotive Machine Learning projects

Jan Zawadzki

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