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Devops Cameo & Mlops | Híbrido Madrid/Sevilla

Grupo Oesía
Rivas-Vaciamadrid, Spain
5 days ago

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

Computer Engineering DevOps Machine Learning Operations

Job description

Grupo Oesía busca un/a DevOps con experiencia en CAMEO y MLOps para un proyecto estable en Madrid o Sevilla, con modalidad híbrida y jornada completa.Formación en grado/máster en ingeniería informática/industrial/telecomunicaciones es requerida, preferences por perfiles con experiencia en aeroespacial o defensa.Se valoran habilidades en CAMEO, DOORS y herramientas de MLOps, con dominio de inglés (C1).Ofrecemos crecimiento profesional y entorno multinacional, con teletrabajo dos días a la#J-*****-Ljbffr

Requirements

Formación en grado/máster en ingeniería informática/industrial/telecomunicaciones es requerida, preferences por perfiles con experiencia en aeroespacial o defensa.Se valoran habilidades en CAMEO, DOORS y herramientas de MLOps, con dominio de inglés (C1).

Benefits & conditions

Ofrecemos crecimiento profesional y entorno multinacional, con teletrabajo dos días a la

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

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · WWC Europe 2026

2:14 min

Overcoming age and background to study engineering

Anna John · WWC 2023

4:25 min

Optimizing agricultural practices through automated machine learning operations

Simi Olabisi · LIVE

2:44 min

Defining core roles and responsibilities in MLOps teams

Bas Geerdink · LIVE

3:18 min

Scaling global network engineering through DevOps culture

Stuart Clark · LIVE

5:28 min

Defining MLOps and its role in production systems

Hauke Brammer · WWC 2023

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

DevOps for Machine Learning thumbnail
44:40
WWC 2021 • about 5 years ago

DevOps for Machine Learning

Hauke Brammer

Swapping a Data Warehouse at Runtime: Zero-Downtime Migration Without Changing a Single Client thumbnail
30:28
WWC Europe 2026 • about 1 month ago

Swapping a Data Warehouse at Runtime: Zero-Downtime Migration Without Changing a Single Client

Max Fischer, Michael O'Toole

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

MLOps - What’s the deal behind it? thumbnail
29:24
WWC 2022 • about 4 years ago

MLOps - What’s the deal behind it?

Nico Axtmann

DevOps for AI: running LLMs in production with Kubernetes and KubeFlow thumbnail
34:21
LIVE • almost 2 years ago

DevOps for AI: running LLMs in production with Kubernetes and KubeFlow

Aarno Aukia

Related articles

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