Senior AI/ML Engineer - MLOps & Production Systems

Mane

Barcelona

Híbrido

EUR 90.000 - 130.000

Jornada completa

Hace 3 días
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Ventajas ofrecidas por este puesto de trabajo

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

Descripción de la vacante

MANE is seeking a Senior AI/ML Engineer to lead end-to-end AI initiatives in fragrance, flavor and ingredient tech. You will design, develop and deploy scalable AI solutions, integrating them into robust software architectures with strong MLOps, CI/CD and observability.

The role demands 5+ years in IT or engineering with hands-on AI/ML leadership. The candidate should hold a Master’s degree in CS/AI/Data Science, have strong Python expertise, and experience with Azure ML or Databricks, Docker,

Formación

  • 5+ years of IT or engineering experience with hands-on AI/ML
  • Master's degree or higher in Computer Science, AI, Data Science or a related field
  • Strong Python skills and knowledge of ML algorithms and data engineering best practices
  • Experience with MLOps and cloud platforms (Azure ML or Databricks)
  • Familiarity with CI/CD, Docker, and production AI system monitoring

Responsabilidades

  • Design and develop scalable, maintainable AI solutions aligned with modern best practices
  • Hands-on development of data, model and deployment pipelines
  • Implement and maintain robust MLOps workflows with CI/CD, containerization and observability
  • Work within an Agile framework to translate research into production value
  • Collaborate with technical and business stakeholders to translate requirements and ensure compliance with data privacy and ethical AI guidelines

Conocimientos

Python
AI/ML algorithms
Data engineering
Azure ML
Databricks
CI/CD
Docker
MLOps
Agile
Communication
English
French

Educación

Master's degree or higher in Computer Science / AI / Data Science

Herramientas

Docker
CI/CD pipelines

Descripción del empleo

MANE is seeking a Senior AI/ML Engineer to lead end-to-end AI initiatives in fragrance, flavor and ingredient tech. You will design, develop and deploy scalable AI solutions, integrating them into robust software architectures with strong MLOps, CI/CD and observability.

The role demands 5+ years in IT or engineering with hands-on AI/ML leadership. The candidate should hold a Master’s degree in CS/AI/Data Science, have strong Python expertise, and experience with Azure ML or Databricks, Docker,

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