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MLOps Machine Learning

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Full Remote
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Offer summary

Qualifications:

Minimum 3 years of experience in a similar role., Strong expertise in MLOps systems and training pipelines., Proficient in cloud environments, particularly AWS, and modern ML tools., Familiarity with Git, Kubernetes, and software engineering best practices..

Key responsabilities:

  • Design, develop, and maintain MLOps systems to automate ML workflows.
  • Create and optimize training pipelines for machine learning models.
  • Implement and manage inference services for production environments.
  • Collaborate with data scientists and software engineers to integrate ML solutions.

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Grupo Digital SME http://www.grupodigital.eu/en/
201 - 500 Employees
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Job description

Desde Grupo Digital, tenemos una vacante para trabajar en un proyecto de uno de nuestros clientes.de

Machine Learning Operation Engineer

Idiomas: Inglés Alto (imprescindible).

Modalidad de trabajo: 100 Teletrabajo.

Roles

Machine Learning Engineer with strong expertise in MLOps.

This role focuses on developing and maintaining automated ML systems, from training pipelines to inference services deployment.

The ideal candidate will have a solid understanding of CI/CD workflows, cloud environments, and modern ML tools.

Responsibilities

Design, develop, and maintain MLOps systems to automate ML workflows

Create and optimize training pipelines for machine learning models

Implement and manage inference services for production environments

Collaborate with data scientists and software engineers to integrate ML solutions

Ensure best practices in ML model versioning, monitoring, and deployment

We re looking for a candidate who can bridge the gap between machine learning development and production deployment, ensuring our ML systems are scalable, maintainable, and efficient.

Conocimientos Imprescindibles

Minimo 3 años de experiencia en puesto similar

Experiencia en MLOps Systems, Training Pipelines, Deploy inference services, Kubeflow, Spark, Cloud (particularmente AWS)

conocimiento de herramientas de MLOps como KubeFlow, MLFlow y FastAPI

Conocimiento de herramientas: Git, Kubernetes

conocimiento de prácticas de ingeniería del software, patrones de diseño, clean architecture, etc,

Ubicación: ESPAÑA Remoto

>>> Imprescindible residir en territorio español ... No se valoran candidaturas que no lo cumplan !!

¿Qué es lo que ofrecemos?

Salario competitivo en función de la experiencia

contrato laboral con opcion a colaboracion mercantil.

22 días laborables de vacaciones

Plan de retribucion flexible: Seguro médico, ...

Formación en Tecnología y Soft Skills

en cuanto a nosostros ... Grupo Digital

Somos un grupo de empresas tecnológicas, formado actualmente por unos 150 profesionales, en distintas áreas: desarrollo, sistemas, ingeniería automática, consultoría...

machine learning,MLOps,Spark,KubeFlow

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Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

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