AI Engineer: End-to-End ML & MLOps on Cloud

KION Business Services Polska; Barcelona; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid Work Model

Flexible Working Hours

Private health insurance

Food Allowance

Barcelona office

Descripción de la vacante

Linde Material Handling seeks a seasoned AI/ML Specialist to design, build and deploy innovative data analytics and generative AI solutions for complex intralogistics problems. You will apply end-to-end AI models, establish MLOps on Azure and GCP, and ensure robust deployment and monitoring across projects.

Collaborating with cross-functional teams, you will contribute to scalable AI systems, foster innovation and optimize performance and costs in a dynamic, international environment.

Formación

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

Responsabilidades

• Design, build and deploy AI/ML and generative AI solutions for internal and external customers.
• Apply ML models for end-to-end solution building and CI/CD pipelines.
• Build and manage MLOps on cloud (Azure/GCP) and monitor costs and performance.
• Review AI models, refactor code, containerize and deploy with versioning and monitoring.
• Collaborate with data scientists, data engineers, business units and IT teams.

Conocimientos

Python programming

AI/ML development

Kubernetes

MLOps

Langfuse

Azure/GCP

Educación

CS/Math/Physics degree

Herramientas

MLflow

Langfuse

Descripción del empleo

Linde Material Handling seeks a seasoned AI/ML Specialist to design, build and deploy innovative data analytics and generative AI solutions for complex intralogistics problems. You will apply end-to-end AI models, establish MLOps on Azure and GCP, and ensure robust deployment and monitoring across projects.

Collaborating with cross-functional teams, you will contribute to scalable AI systems, foster innovation and optimize performance and costs in a dynamic, international environment.