20 publicaciones de empleo destacadas en mlops engineer (¡Están contratando!)

Machine Learning Ops and Data Engineer
Avarda Group —Málaga, Málaga provincia
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Solicitud rápida
Data Engineer / AWS & Big Data
Accenture —A Coruña, A Coruña provincia
- Jornada completa
- Trabajo híbrido
- Español
- Informática
- Inglés
- Reparto de beneficios empresariales
- Seguro médico privado
DevOps Engineer (Cloud/Hybrid)
Siemens —Tres Cantos, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
8d
Senior Machine Learning Engineer
BizAway —Barcelona, Barcelona provincia
- Horas extra
- Teletrabajo
- Doctorado
- Informática
- Máster
- Teletrabajo opcional
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ailylabs —Barcelona, Barcelona provincia
- Jornada completa
- Azure
- Máster
- SQL
Solicitud rápida
Principal AI Engineer — AI Solutions (Enabling Functions)
AstraZeneca —Barcelona, Barcelona provincia
- Jornada completa
- Microsoft Excel
- Oficina
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7d
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MULTIVERSE COMPUTING —Donostia-San Sebastián, Guipúzcoa provincia
- DevOps
- Investigación
- Máster
Solicitud rápida
Senior GenAI Engineer – LLMs & RAG
Accenture —Málaga, Málaga provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
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Senior DevOps Engineer
InteractiveAI —Madrid, Madrid provincia
- De 90.000 € a 110.000 € al año
- Jornada completa
- Azure
- DevOps
- Máster
Solicitud rápida
Lead AI Application Engineer (Infrastructure & LLMOps)
TechBiz Global GmbH —Tenerife, Santa Cruz de Tenerife provincia
- Jornada completa
- Teletrabajo
- Azure
- DevOps
- SQL
Solicitud rápida
Solutions Architect
RevStar —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- CRM software
- Informática
- Ventas
- Seguro dental
- Vacaciones pagadas
Solicitud rápida
Expert Consultant, Coro, AI Engineer
Bain & Co. —Madrid, Madrid provincia
- De 128.500 € a 171.500 € al año
- Jornada completa
- Azure
- Doctorado
- Informática
- Seguro dental
- Vacaciones pagadas
Solicitud rápida
AI Engineer / Backend Developer (Barcelona)
Mindsight Ventures —Barcelona, Barcelona provincia
- De 30.000 € a 50.000 € al año
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- Investigación
Solicitud rápida
7d
Data Engineer – Data Products
Oxigent —Barcelona, Barcelona provincia
- De 42.000 € a 50.000 € al año
- Teletrabajo
- Azure
- Inglés
- SQL
- Seguro médico privado
- Flexibilidad horaria
11d
Data Science / Machine Learning graduate
Symrise —Barcelona, Barcelona provincia
- 32.000 € al año
- Jornada completa
- Español
- Informática
- DevOps
- Seguro de vida
Solicitud rápida
AI Engineer
Yuki online boekhouden —Barcelona, Barcelona provincia
- Inglés
- Oficina
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Data Engineer
Zurich Insurance —Barcelona, Barcelona provincia
- Jornada completa
- Español
- Azure
- DevOps
AI Transformation Lead
Valsea Technology —Marbella, Málaga provincia
- Horas extra
- Teletrabajo
- Español
- Inglés
- Máster
Forward Deployed AI Engineer
Keyrus Spain —Alcobendas, Madrid provincia
- De 70.000 € a 85.000 € al año
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- Inglés
Solicitud rápida
Data Scientist, Parameta Solutions (Madrid)
TP ICAP —Madrid, Madrid provincia
- Jornada completa
- Doctorado
- Informática
- Oficina
8d

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Machine Learning Ops and Data Engineer

Avarda Group
Málaga, Málaga provincia

Solicitud rápida

Detalles del empleo

Cualificaciones

CI/CD
Azure
Derecho
DevOps
Inglés
Máster
SQL
Docker
Machine learning
ETL
Cloud
Data warehouse
Python
Debugging

Descripción completa del empleo

About the role

This role combines data platform engineering and MLOps responsibilities, supporting both reliable analytical data flows and production-ready machine learning solutions. The person will maintain and improve ETL pipelines, support the data platform environment, and help deploy, monitor, and optimize machine learning models in production. The role requires close cooperation with Data Science, Engineering, BI, Risk, and IT teams to ensure that data and model processes are scalable, well-documented, stable, and aligned with business needs.

Key Responsibilities

As a Data Platform and MLOps engineer, you will be part of our Data Platform team and play an important role in our daily operations. Your responsibilities will include:

Deploy machine learning models into production environments and support their operational lifecycle.
Support cloud-based analytical, reporting, and machine learning infrastructure.
Collaborate closely with Data Science, Engineering, Risk, BI, and IT teams to align data and model requirements with production standards.
Develop automation for model deployment, updates, scaling, and recurring data processing tasks.
Implement monitoring for both data pipelines and machine learning models, including performance, availability, and quality checks.
Ensure reliable operation and continuous development of the analytical data warehouse environment.
Design, maintain, troubleshoot, and optimize ETL/data pipelines supporting reporting, analytics, and machine learning use cases.
Ensure timely and high-quality data availability for BI, Risk, Data Science, and other business stakeholders.
Identify, investigate, and resolve performance issues across data warehouse, ETL, and model deployment processes.
Troubleshoot, debug, upgrade, and improve existing software, pipelines, and deployment processes.
Gather and evaluate user feedback, recommend improvements, and execute enhancements.
Maintain technical documentation for data processes, model deployments, configurations, and operational procedures.

Qualifications and Experience

We are looking for someone who has:

2+ years of experience in data engineering and machine learning
Strong Python programming skills and intermediate SQL knowledge
Good understanding of databases, data warehouse concepts, and ETL processes
Understanding of machine learning lifecycle and model operationalization
Using LLM’s to generate and optimize code, ability to use AI platform features to enhance and speed up workflows
Knowledge of DevOps practices, CI/CD pipelines, and version control
Experience with cloud-based analytical and reporting solutions, preferably Azure
Familiarity with machine learning frameworks and tools such as scikit-learn and XGBoost
Familiarity with containerization technologies such as Docker
Ability to monitor, troubleshoot, and optimize data pipelines, infrastructure, and deployed models
Experience with software design, development, debugging, and documentation
Proficient English, B1/B2 level or higher.

What we Offer

A friendly and collaborative team culture
The opportunity to learn from experienced colleagues and grow within IT
A modern technical environment with room for improvement and innovation
A workplace where teamwork, curiosity, and continuous improvement are valued

Solicitud rápida

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