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Digital Architect (m/w/x)
Designing and deploying generative and agentic AI solutions on Microsoft Azure for a European healthcare provider. Several years of production ML deployment experience required. Cloud-based AI development with Python and modern data science ecosystems.
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Anforderungen
- Master's or Ph.D. in Data Science, Computer Science, Mathematics, Statistics, or related quantitative field
- Several years of practical experience in design, development, and deployment of data science solutions in production
- Strong proficiency in Python and experience with modern data science ecosystems, machine learning frameworks, and distributed data processing technologies
- Experience with cloud-based AI development on Microsoft Azure, including software engineering practices like APIs, version control, CI/CD and DevOps
- Strong expertise in statistical modelling and machine learning, with relevant experience in Generative and Agentic AI
- Strong collaboration and communication skills, experience in agile, cross-functional teams, ability to translate complex technical concepts for technical and non-technical audiences
- Experience in healthcare, supply chain, logistics, or pricing domains is beneficial but not required
- Professional proficiency in English required. German is a plus.
Aufgaben
- Design, develop, and deploy machine learning solutions
- Design, develop, and deploy predictive analytics solutions
- Design, develop, and deploy optimization solutions
- Design, develop, and deploy generative AI solutions
- Design, develop, and deploy agentic AI solutions
- Lead end-to-end AI product development
- Build solutions using Python, Pyspark, and Databricks
- Build solutions using Microsoft Azure
- Implement best practices in CI/CD and MLOps
- Collaborate with cross-functional teams and business stakeholders
- Identify opportunities for data-driven decision making
- Identify opportunities for AI adoption
- Ensure model quality, reliability, and explainability
- Ensure compliance with organizational standards and governance
- Mentor junior data scientists
- Contribute to the continuous development of AI Factory capabilities
- Contribute to the continuous development of AI Factory standards
- Evaluate and adopt new AI technologies and trends
- Evaluate and adopt new AI frameworks and development approaches
Berufserfahrung
Ausbildung
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Tools & Technologien
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens PHOENIX International Holdings GmbH erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei PHOENIX International Holdings GmbHÜber das Unternehmen
Das Unternehmen ist der marktführende Pharmahändler in Deutschland und der beste integrierte Gesundheitsdienstleister Europas.
Nejo bewertet ihn, und bringt ihn danach gemeinsam mit dir in Bestform.
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