Mlops Engineer: Build Scalable Ai Pipelines & Ci/Cd

Capgemini
Madrid, Spain
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Cloud Computing Continuous Integration Kubernetes Machine Learning Operations

Job description

Capgemini busca un/a Consultor/a MLOps para definir, implantar y coordinar procesos y herramientas que automaticen y hagan trazable el ciclo de vida de modelos de ML.Deberá garantizar escalabilidad y gobernanza, colaborando con Data Science, Data Engineering e IT para integrar soluciones.Se valoran experiencia en MLflow, Kubeflow y herramientas de monitorización; se trabajará en entornos cloud, on?premise o híbridos, con enfoque en seguridad y buenas prácticas.#J-*****-Ljbffr

Requirements

Se valoran experiencia en MLflow, Kubeflow y herramientas de monitorización; se trabajará en entornos cloud, on?premise o híbridos, con enfoque en seguridad y buenas prácticas.

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Good distractions

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

1:15 min

Deploying local container pods to Kubernetes clusters

Stevan Le Meur Stevan Le Meur · World Congress 2024

2:27 min

Introduction to WebAssembly in a cloud computing context

Edo Edo · World Congress 2024

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

33 sec

Supporting NVIDIA GB200 GPUs on Kubernetes

Kevin Klues Kevin Klues · World Congress 2025

3:56 min

Solving application deployment complexities using LLMOps pipelines

Anshul Jindal Anshul Jindal · World Congress 2025

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