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 customers
🌏 You will work for a successful global company in an international environment. Are you ready for a new challenge? Then you might be the one we are looking for!
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 departments
- Attractive remuneration based on your experience, skills and development.
- Extensive trainings in your area of responsibility
- The opportunity to participate in the international projects and a significant influence on company IT development
- Barcelona (Zona Franca)
- Private health insurance
- Food Allowance
- Committed to Diversity and Society: Support for employees with children with disabilities.
- 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
