ML/MLOps Engineer [Madrid]
Madrid, Spain
EUR 36K-45K (estimate) Senior-level Full Time Found 3d ago
Tasks
- Automate testing, training, and deployment
- Build and maintain ETL/ELT pipelines
- Deploy and manage solutions on cloud using Docker and Kubernetes
- Design and implement ML pipelines
- Ensure observability, monitoring, drift detection, and security compliance
- Manage code, data, and model versioning
- Operate batch and online model services
Perks/Benefits
- Career development
- Continuous training
- Flexible hours
- Flexible remote work
- Social benefits
- Technical projects
Skills/Tech-stack
AWS | Azure | CI/CD | Cloud Computing | Cost Optimization | Data Engineering | Data Pipelines | Docker | Experiment tracking | GCP | Kubernetes | MLflow | Machine Learning | Machine Learning Fundamentals | Model Deployment | Monitoring | Python | Security | Spark
Education
Roles
Language: es |
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