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Devops Cameo & Mlops | Hybrid Madrid/Sevilla

Grupo Oesía
Rivas-Vaciamadrid, Spain
4 days ago

Role details

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

Tech stack

Computer Engineering DevOps Machine Learning Operations

Job description

Grupo Oesía está buscando un/a DevOps con conocimientos en CAMEO y procesos MLOps para unirse a un proyecto de alcance nacional con modalidad híbrida en Madrid o Sevilla.Requiere al menos 2 años de experiencia y titulación en ingeniería informática, industrial o telecomunicaciones.Ofrecen entorno estable, formación y avance profesional, teletrabajo 2 días a la semana, jornada completa con flexibilidad horaria y verano.#J-*****-Ljbffr

Requirements

Requiere al menos 2 años de experiencia y titulación en ingeniería informática, industrial o telecomunicaciones.Ofrecen entorno estable, formación y avance profesional, teletrabajo 2 días a la semana, jornada completa con flexibilidad horaria y verano.

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

3:32 min

Shifting to a DevOps career from non-technical backgrounds

Megha Kadur · LIVE

3:18 min

Scaling global network engineering through DevOps culture

Stuart Clark · LIVE

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

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

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

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

Agentic AI: building autonomous systems for developers thumbnail
28:58
WWC Europe 2026 • about 1 month ago

Agentic AI: building autonomous systems for developers

Anshul Jindal, Sebastian Mahr

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