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.
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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
About the company:
We are a socially responsible company that offers equal employment opportunities, promotes diversity, and respects differences within our organization. We do not tolerate any form of discrimination, harassment, or aggression—whether verbal or physical, direct or indirect—against individuals or material objects.
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
Your 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 xugodme 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
What we offer:
Attractive remuneration based on your experience, skills and development.