2 publicaciones de empleo destacadas de data scientist python & en alcobendas, md (¡Están contratando!)

Senior MLOps Engineer
Mindtech —Madrid, Madrid provincia
- Jornada completa
- Azure
- AWS
- Machine learning
Solicitud rápida
Senior Generative AI Tech Lead / Architect (m/f/d)
Siemens —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Doctorado
- Informática
13d

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Senior Generative AI Tech Lead / Architect (m/f/d)
Siemens —Madrid, Madrid provincia
The Senior Generative AI Tech Lead leads projects end-to-end — from solution design and architecture to prototyping and implementation — and acts as a key…
13d

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Senior MLOps Engineer

Mindtech -
Madrid, Madrid provincia

Solicitud rápida

Detalles del empleo

Jornada completa

Cualificaciones

CI/CD
Azure
AWS
Docker
Machine learning
Terraform
Escalabilidad
Cloud
Python

Descripción completa del empleo

Senior MLOps Engineer

We are seeking a Senior MLOps Engineerwith proven experience in building and scaling machine learning operations in production environments. The ideal candidate must have strong hands-on expertise with Databricks and MLflow, as these are core requirements for the role.

What you will do

Build, automate, and maintain end-to-end ML pipelines
Deploy, monitor, and optimize machine learning models in production
Manage experiment tracking, model registry, and lifecycle workflows using MLflow
Collaborate with data scientists, data engineers, and software teams to productionize ML solutions
Improve the reliability, scalability, and governance of ML platforms

What we are looking for

5+ years of experience in MLOps, Machine Learning Engineering, or similar roles
Mandatory hands-on experience with Databricks and MLflow
Strong Python skills and experience working with cloud-based environments
Solid understanding of CI/CD, automation, model deployment, and monitoring
Ability to work cross-functionally and communicate clearly with technical and non-technical stakeholders

Nice to have

Experience with orchestration and infrastructure tools such as Airflow, Docker, Kubernetes, or Terraform
Familiarity with AWS, Azure, or GCP

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