Experteer Overview

Por favor, asegúrese de leer atentamente los siguientes detalles antes de enviar cualquier solicitud.
In this role you design, build and deploy AI-driven solutions to solve real-world intralogistics challenges for internal and external customers. You will develop end-to-end AI and ML applications, containerize and deploy them on cloud platforms, and establish robust MLOps practices. You’ll collaborate with data scientists, engineers, and business units to deliver impactful analytics-powered outcomes. This position offers international exposure, innovative tech, and a chance to influence IT development within a general leader.

Compensaciones / Beneficios
• Design and deploy AI-driven solutions for real-world problems
• Apply ML and generative AI models end-to-end
• Build MLOps pipelines on cloud (Azure and GCP) and implement CI/CD
• Review AI models, refactor code, containerize, deploy, version, monitor
• Validate AI models, automate tests, integrate components
• Collaborate with cross-functional teams including data scientists,



data engineers, UX designers, and IT

Responsabilidades
• 3+ years of professional experience
• Ability to design, implement and maintain AI-driven applications on Azure and GCP
• Strong experience with end-to-end AI/ML solutions
• Experience building data and MLOps pipelines and with MLOps frameworks (e.g., MLflow) and Kubernetes
• Experience with Retrieval Augmented Generation (RAG) architectures xqbhyrx and production monitoring (Langfuse)
• Ability to develop and deploy agentic AI solutions using an agent framework (e.g., ADK)
• Excellent Python and libraries (scikit-learn, PyTorch, TensorFlow)
• Strong analytical skills and good communication
• Fluent in English

Requisitos principales
• Attractive remuneration
• Extensive trainings
• Hybrid work model
• Flexible working hours
• Private health insurance
• Food allowance

📌 AI Engineer (Barcelona)
🏢 Kion Group
📍 Barcelona