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Bei uns erleben Sie Lernen und berufliche Weiterentwicklung in einer v\u00f6llig neuen Dimension.</p> <p><strong>Gesund leben, gesund arbeiten<br /></strong>Dar\u00fcber hinaus haben Sie Zugang zu Programmen wie unseren kontinuierlichen Lern- und Weiterentwicklungsprogrammen, der Erstattung von Studiengeb\u00fchren und Mentoring, um Ihr grenzenloses Potenzial auszusch\u00f6pfen \u2013 au\u00dferdem haben Sie die M\u00f6glichkeit, Ihre Lebensqualit\u00e4t durch unsere umfassenden, erstklassigen Leistungsangebote zu verbessern .</p> <p>Die Arbeit, die wir bei Qualcomm leisten, hat Auswirkungen auf das Leben rund um den Globus \u2013 und Sie k\u00f6nnen ein Teil davon sein. Bewerben Sie sich noch heute und entfalten Sie Ihr volles Potenzial..</p>"}}}, "customContent": {"positionSections": [{"title": "Unlock Your Limitless Potential with Qualcomm", "body": "<p>Whether you&rsquo;re launching a new career or ready to explore what&rsquo;s next in the evolution of your talent and expertise, you&rsquo;re about to embark on a career growth journey like no other.</p> <p><strong>Bring out your best, with the best<br /></strong>Our employees make Qualcomm&rsquo;s success possible. We hire the brightest minds and foster a supportive, inclusive culture where your ideas have the power to contribute to world-changing innovations and breakthrough technologies. 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Collaborate with business leaders to identify opportunities for AI/ML-driven innovation and guide the development of use cases that deliver tangible business value. Oversee the design and implementation of data pipelines and AI/ML models, ensuring they integrate seamlessly with existing enterprise systems and processes. Develop strategies for data governance, quality, and management to support AI/ML initiatives across the organization. Influence executive and senior leadership on the strategic adoption of AI/ML technologies and their impact on business processes and outcomes. Foster a culture of continuous learning and innovation in AI/ML practices across the enterprise architecture team and broader organization. Master's Degree in Computer Science, Information Systems, Data Science, or a related field. 8+ years of experience in enterprise architecture, with a focus on AI/ML integration and transformation projects. Proven experience in leading enterprise-wide transformations of AI/ML capabilities Strong understanding of enterprise architecture frameworks (e.g., TOGAF, Zachman) and modeling languages (e.g., ArchiMate). Proficiency in data architecture and AI/ML technologies (AI Orchestration, Feature stores, ML observability, etc.), frameworks, and their application in enterprise setting. Experience with cloud computing platforms (AWS, GCP, Azure) and their AI/ML offerings. Excellent communication skills, with the ability to articulate complex architectural concepts to both technical and non-technical stakeholders. Demonstrated leadership in driving cross-functional initiatives and facilitating organizational change. Player coach mindset with excellent collaboration skills to drive pragmatic changes PhD in Data Science/Machine Learning, Mathematics/Statistics, Computer Science, or a closely related field. TOGAF certification and ArchiMate 3 Practitioner Certification. Experience in the semiconductor industry or related high-tech manufacturing environments. Proficiency in programming languages relevant to AI/ML (e.g., Python, R) and data manipulation (SQL, NoSQL). Familiarity with advanced AI/ML techniques, including deep learning, NLP, and generative AI models. Experience with business architecture and business capability modeling. Strong background in information security architecture and data privacy principles. Proven track record of successful large-scale AI/ML transformations in enterprise settings. 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