Linde Material Handling is among the world leaders in the manufacturing of forklifts, warehouse trucks, and high-performance solutions for intralogistics. COURAGE – we drive change and innovation
You will work for a successful global company in an international environment.
About the company:
Extensive trainings in your area of responsibility
The opportunity to participate in the international projects and a significant influence on company IT development
Adaptable Working Hours
Private health insurance
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
Completed studies in computer science, mathematics, physics or a comparable education
~Ability to design, implement and maintain AI-driven applications on cloud (Azure and GCP), including performance and cost monitoring and optimization
~ 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., Excellent Python programming skills and familiarity with relevant frameworks and libraries like scikit-learn, Pytorch, Tensorflow etc.
~ Fluent in English

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