AI Engineer: Generative AI & MLOps (Hybrid)

Joinimagine; Barcelona; Híbrido; EUR 60.000 - 85.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Flexible working hours

Private health insurance

Food allowance

Diversity and inclusion support

Descripción de la vacante

Linde Material Handling seeks an experienced AI/ML Engineer to design, build and deploy data analytics and generative AI solutions for global intralogistics projects in Barcelona. You will implement end-to-end AI systems across cloud environments and collaborate with cross-functional teams.

The role requires 3+ years in AI/ML, strong Python, Kubernetes, and MLOps expertise, plus English proficiency. Hybrid work and private health insurance are offered.

Formación

• Completed studies in computer science, mathematics, physics or a comparable education.
• 3+ years of professional experience.
• Ability to design, implement and maintain AI-driven applications on cloud (Azure and GCP).
• Strong experience with AI/ML end-to-end solutions developing.

Responsabilidades

• Design, build and deploy innovative solutions in data analytics, machine learning and generative AI for internal and external customers.
• Apply ML and generative AI models for end-to-end solution building.
• Build MLOps on cloud (Azure and GCP) and CI/CD pipelines.
• AI model review, code refactoring, containerization, deployment, versioning and monitoring.
• AI model validation, test automation and integration.
• Collaborate with data scientists, data engineers, business units, UX designers and IT.

Conocimientos

AI/ML end-to-end

Python programming

Kubernetes

MLOps

Cloud: Azure & GCP

Langfuse

Pytorch

TensorFlow

Educación

Computer science, mathematics, physics or equivalent

Herramientas

Azure

GCP

Kubernetes

MLflow

Langfuse

scikit-learn

PyTorch

TensorFlow

Descripción del empleo

Linde Material Handling seeks an experienced AI/ML Engineer to design, build and deploy data analytics and generative AI solutions for global intralogistics projects in Barcelona. You will implement end-to-end AI systems across cloud environments and collaborate with cross-functional teams.

The role requires 3+ years in AI/ML, strong Python, Kubernetes, and MLOps expertise, plus English proficiency. Hybrid work and private health insurance are offered.