entwickelst Du Transition-Szenarien und setzt diese in neue M365-Technologien um. implementierst Du Lösungen in SharePoint Online unter Einbindung von Azure Services. nimmst Du Anforderungen auf, erstellst Konzepte und dokumentierst die umgesetzten Lösungen.
Dann freuen wir uns auf deine vollständige Bewerbung über unsere Online-Plattform. Wir melden uns so schnell wie möglich.
Please send us your application documents, stating your earliest possible starting date, by email to noemi.idbella@experts.jobs or use our online form. For a confidential initial contact, please feel free to call Noemi Idbella at 069/256279923.
Please send us your application documents, stating your earliest possible starting date, by email to noemi.idbella@experts.jobs or use our online form. For a confidential initial contact, please feel free to call Noemi Idbella at 069/256279923.
Please send your application documents, including your earliest possible start date, by email to noemi.idbella@experts.jobs or use our online application form. For a confidential initial contact, please feel free to reach out to Noemi Idbella at +49 69 256279923.
As part of our team, you will take on the following responsibilities: You are the driving force that transforms innovative AI/ML concepts from the lab environment into robust, scalable products — ensuring prototypes evolve into stable, production‑ready systems.You operationalize the entire ML lifecycle, developing automated CI/CD pipelines, taking ownership of deploying models into production, and continuously expanding our resilient MLOps infrastructure.You implement algorithms and complex feature transformations efficiently within production systems, optimizing them for latency, throughput, and maximum stability.You build scalable data pipelines and feature stores that ensure reliable, consistent data supply for both training and serving — online and offline.You establish professional monitoring mechanisms such as drift detection, automated retraining, and validation processes to guarantee long‑term model quality in live operations.You collaborate closely with Data Scientists, MLOps teams, and IT Infrastructure teams, ensuring that all production‑grade AI/ML solutions follow software engineering best practices and comply with security, privacy, and regulatory requirements.
EDI, SAP), including testing, certifications, cutover, and hypercare.You actively participate in the 24/7 on-call duty and ensure the availability of online authorization.You develop IT concepts within your domain, including architecture sketches, data flows, and security, scalability, and resilience concepts.You lead innovative payment projects from the concept phase through to handover to the relevant departments and provide technical advice to internal stakeholders.