Senior AI/ML Engineer - MLOps & Hybrid Work

MANE

Barcelona

Híbrido

EUR 90.000 - 150.000

Jornada completa

Hace 2 días
Sé de los primeros/as/es en solicitar esta vacante
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Ventajas ofrecidas por este puesto de trabajo

Permanent contract
Flexible hours
Hybrid work model
Competitive salary
Life and accident insurance
Generous vacation

Descripción de la vacante

MANE is seeking a Senior AI/ML Engineer to design and deploy scalable AI solutions throughout the lifecycle, from modeling to production. You will craft robust software architectures and ensure robust performance and reliability in production environments.

The role emphasizes hands-on development, MLOps mastery, and collaboration with business stakeholders to translate challenges into technical requirements while upholding data privacy and ethical AI practices.

Formación

  • 5+ years of IT/engineering experience with hands-on AI/ML and leadership.
  • Master's degree or higher in CS, AI, or data science.
  • Advanced Python proficiency and knowledge of AI/ML algorithms and data engineering.

Responsabilidades

  • Design and develop scalable AI solutions aligned with best practices.
  • Deliver high-quality data, modeling, and deployment pipelines.
  • Implement and maintain robust MLOps workflows with CI/CD, containerization, and observability.
  • Work in an Agile framework translating research into production value, meeting milestones.

Conocimientos

Python
AI/ML
Data engineering
Technical leadership

Educación

Master's degree

Herramientas

Azure ML
Databricks
Docker
CI/CD

Descripción del empleo

MANE is seeking a Senior AI/ML Engineer to design and deploy scalable AI solutions throughout the lifecycle, from modeling to production. You will craft robust software architectures and ensure robust performance and reliability in production environments.

The role emphasizes hands-on development, MLOps mastery, and collaboration with business stakeholders to translate challenges into technical requirements while upholding data privacy and ethical AI practices.

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