Linde Material Handling is among the world leaders in the manufacturing of forklifts, warehouse trucks, and high-performance solutions for intralogistics. Since 2006, Linde has been part of the KION Group.Our values are:- INTEGRITY – we do what is right- COLLABORATION – we trust each other- COURAGE – we drive change and innovation- EXCELLENCE – we deliver exceptional value to our customersYou will work for a successful general company in an international environment. Are you ready for a new challenge? Then you might be the one we are looking for!About the company:We offer:What we offer:Attractive remuneration based on your experience, skills and development.Extensive trainings in your area of responsibilityThe opportunity to participate in the international projects and a significant influence on company IT developmentBarcelona (Zona Franca)Hybryd Work ModelFlexible Working HoursPrivate health insuranceFood AllowanceCommitted to Diversity and Society: Support for employees with children with disabilities.Tasks and Qualifications:Your role:- Design, build and deploy innovative solutions in the area of data analytics, machine learning and generative AI to solve complex real-world problems for our internal and external customers- Apply machine learning and generative AI models for end-to-end solution building- Build MLOps on cloud (Azure and GCP) and build CI/CD pipelines- AI model review, code refactoring,



containerization, deployment, versioning and monitoring- AI model validation, test automation and integration- Collaborate closely in interdisciplinary teams with data scientists, data engineers, business units, UX designers and IT departmentsYour profile:- 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), including performance and cost monitoring and optimization- Strong experience with AI/ML end-to-end solutions developing- Ability to build data and MLOps pipelines and experience with MLOps frameworks (e.G., MLflow) and with Kubernetes- Experience with leveraging Retrieval Augmented Generation (RAG) architectures and monitoring them in production using LLM Observability platforms (e.G., Langfuse)- Ability to develop and deploy agentic AI solutions to automate complex workflows and enable autonomous decision-making using an agent framework, e. g. ADK- Excellent Python programming skills and familiarity with relevant frameworks and libraries like scikit-learn, Pytorch, Tensorflow etc.- Strong conceptual and analytical skills- Good communication skills- High degree of initiative and solution orientation- Fluent in English#J-18808-Ljbffr

📌 Ai Engineer (Barcelona)
🏢 joinimagine
📍 Barcelona