Stellenbeschreibung
Bedrijfsomschrijving Spark Radiance ist die digitale Innovationsschmiede der Güntner Gruppe, einer der weltweit führenden Hersteller von Kälte- und Klimatechnik. Für Kunden aus der Fahrzeug-, Lebensmittel-, Pharma- und Computerindustrie sowie für öffentliche Einrichtungen rund um den Globus sind wir seit vielen Jahren ein verlässlicher Partner. Die Spark Radiance ist der globale Partner für die Digitalisierung der Güntner Gruppe – als Dienstleister und Lösungsanbieter zugleich. Viele spannende Aufgaben warten darauf, in Angriff genommen zu werden. Sie planen Ihren Berufseinstieg, einen Quereinstieg oder sind bereits erfahren und wollen sich verändern? Wir empfangen Sie gerne dort, wo Sie jetzt sind, und machen Sie zu unserem Expert als Functieomschrijving Your tasks: 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 Functie-eisen Your skills: 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