ml engineer generative AI

Linde Material Handling is a global manufacturer of forklifts, warehouse trucks, and high-performance intralogistics solutions. Since 2006, it has been part of the KION Group.

• Design, build and deploy solutions in data analytics, machine learning and generative AI for internal and external customers;
• Apply machine learning and generative AI models to build end-to-end solutions;
• Build MLOps on Azure and GCP and create CI/CD pipelines;
• Review AI models and perform code refactoring, containerization, deployment, versioning and monitoring;
• Validate AI models, automate testing and integrate solutions;
• Collaborate with data scientists, data engineers, business units, UX designers and IT departments.

• Completed studies in computer science, mathematics, physics or comparable education;
• 3+ Years of professional experience;
• Ability to design, implement and maintain AI-driven cloud applications on Azure and GCP, including performance and cost monitoring and optimization;
• Strong experience developing end-to-end AI/ML solutions;
• Ability to build data and MLOps pipelines;
• Experience with MLOps frameworks such as MLflow and with Kubernetes;
• Experience with Retrieval Augmented Generation (RAG) architectures and production monitoring using LLM Observability platforms such as Langfuse;
• Ability to develop and deploy agentic AI solutions using an agent framework such as ADK;
• Excellent Python programming skills;
• Strong conceptual and analytical skills;
• Good communication skills;
• High degree of initiative and solution orientation;
• Fluent in English.

• Attractive remuneration based on experience, skills and development;
• Extensive training in the area of responsibility;
• Opportunity to participate in international projects and significantly influence company IT development;
• Flexible working hours;
• Private health insurance;
• Food allowance;
• Support for employees with children with disabilities.