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Devops Cameo & Mlops | Hybrid Madrid/Sevilla

Grupo Oesía
Rivas-Vaciamadrid, Spain
7 days ago
Apply on www.buscojobs.com.es
Prepare application

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience required
2 years minimum
Working hours
Shift work
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
Prepare application

Good distractions

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

Moments

Explore playlists

1:22 min

Analyzing differences between mobile and traditional backend DevOps

Mete Baydar Mete Baydar · World Congress 2025

2:14 min

Overcoming age and background to study engineering

Anna John · World Congress 2023

4:25 min

Optimizing agricultural practices through automated machine learning operations

Simi Olabisi · LIVE

4:07 min

Expanding continuous integration to MLOps and IoTOps

Falk Langer Falk Langer +1 · World Congress 2023

3:27 min

Defining DevOps through its historical origins and foundational texts

Sonal Patil · LIVE

2:44 min

Defining core roles and responsibilities in MLOps teams

Bas Geerdink · LIVE

Videos

See all
Effective Machine Learning - Managing Complexity with MLOps thumbnail
45:45
World Congress 2021 • over 5 years ago

Effective Machine Learning - Managing Complexity with MLOps

Simon Stiebellehner

DevOps for Machine Learning thumbnail
44:40
World Congress 2021 • over 5 years ago

DevOps for Machine Learning

Hauke Brammer

Shifting Stress to Progress— Understanding DevOps to do DevOps Better thumbnail
37:46
LIVE • almost 5 years ago

Shifting Stress to Progress— Understanding DevOps to do DevOps Better

Sonal Patil

Swapping a Data Warehouse at Runtime: Zero-Downtime Migration Without Changing a Single Client thumbnail
30:28
World Congress 2026 Europe • 3 months 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
World Congress 2022 • over 4 years ago

MLOps - What’s the deal behind it?

Nico Axtmann

Mobile vs. Backend DevOps thumbnail
6:09
World Congress 2025 • about 1 year ago

Mobile vs. Backend DevOps

Mete Baydar

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