As part of our strategic AI initiative, we are looking for a hands-on AI Solution Engineer who will drive the implementation of our first high-impact AI use cases. You will work closely with domain experts across our organization, build our internal AI stack, and deliver functional prototypes that bring real business value. This is a critical early-stage role with high visibility and the opportunity to shape how AI is used across the company. Design and implement scalable AI/ML solutions based on identified use cases Set up and maintain our internal AI development environment (local or cloud-based) Collaborate closely with business units and domain experts to translate real-world problems into machine learning tasks Rapidly prototype solutions using structured and unstructured data Ensure high-quality documentation, versioning, and reproducibility of models and pipelines Interface with external AI partners or consultants, and manage the technical integration of third-party components Drive model evaluation, deployment, and monitoring in production or near-production environments Stay up to date with the latest developments in applied AI and help evaluate their potential for our business Must-Have skills Relevant professional hands-on experience in applied machine learning, preferably in an industrial context Strong proficiency in Python and AI/ML frameworks such as PyTorch, TensorFlow, scikit-learn Experience with LLMs and NLP frameworks Familiarity with MLOps tools Experience setting up and maintaining GPU-based local workstations or cloud-based AI infrastructure (AWS, Azure, or GCP) Solid understanding of data workflows – from preprocessing to deployment Excellent communication skills and ability to work closely with non-technical stakeholders Very good English language skills are mandatory and German language skills are a plus Nice-to-Have skills Experience with visual AI (e.g., image classification, object detection) Exposure to manufacturing, or engineering domains Familiarity with agile development methodologies You can look forward to a secure job with an internationally successful company that is at the cutting edge of refrigeration and air conditioning technology. A high-impact role at the intersection of AI and real-world industrial innovation Freedom to shape our internal AI stack and work on a greenfield initiative Close collaboration with experts across engineering, manufacturing, and management An open, future-oriented work culture with flat hierarchies and short decision paths An attractive remuneration package with capital-forming benefits, Christmas and holiday bonuses, 30 days' holiday and a company pension scheme Corporate benefits with various providers in the car, travel, leisure and sports categories and much more Access to fitness, sports and health facilities and fitness apps through our cooperation partner EGYM Wellpass Company bike leasing via our partner Bikeleasing Then we look forward to receiving your application. Your data will of course be treated confidentially. If you have any questions, please contact Jennifer Hatoukh: jennifer.hatoukh@guentner.com Visit our Kununu profile and leave a review of the recruitment process. Here you can find a short video about sustainability at Güntner.