FAQs Benefits Search for Jobs
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Wir rekrutieren kluge K\u00f6pfe und setzen uns f\u00fcr eine Kultur der gegenseitigen Unterst\u00fctzung und Inklusion ein. So k\u00f6nnen mit Ihren Ideen zu weltver\u00e4ndernden Innovationen und bahnbrechenden Technologien beitragen. Damit das m\u00f6glich ist, nutzen wir die ganze Breite und Tiefe unseres weltweiten Know-hows. Wir liefern Antworten, machen Komplexes einfach und \u00fcberwinden gemeinsam anspruchsvollste Herausforderungen.</p> <p><strong>Innovationen mit Technologieexperten<br /></strong>Karriere kennt keine Grenzen \u2013 davon sind wir bei Qualcomm fest \u00fcberzeugt. Nutzen Sie die einzigartige M\u00f6glichkeit, mit hoch angesehenen und f\u00fchrenden Engineering- und Technologieexperten der Branche zusammenzuarbeiten. 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. 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Translate business needs into technical solutions that simplify and streamline operations. Ensure all solutions align with compliance standards and audit requirements. Build and deploy AI/ML business solutions (LLMs, agents) and workflows using N8N or similar tools for various finance and accounting tasks such as journal entry automation, reconciliation, forecasting, and anomaly detection. Develop robust data pipelines in Python to extract, clean, and prepare data from enterprise platforms (Databrics, AWS Redshift, Oracle etc) for AI, and reporting use cases. Collaborate with IT and operations to leverage and integrate enterprise AI tools into existing systems and processes. Build and maintain data pipelines that support real-time and batch AI applications. Define KPIs and success metrics for AI initiatives in finance. Stay current with advancements in generative AI, agent-based modeling, and enterprise AI governance. Present findings and proposals to executive stakeholders and steering committees. Bachelor's or Master's degree (MS strongly preferred) in Finance, Accounting, Economics, Computer Science, AI/ML, Applied Mathematics, or related field. 3+ years of experience building and deploying AI/ML models in enterprise environments. Proficiency in Python or Rust; experience with frameworks like PyTorch, TensorFlow, LangChain, or similar. AI automation and workflow development using N8N or similar tools. Deep understanding of LLMs, AI agents, and context-aware orchestration (e.g., MCP). Strong business acumen in finance and accounting, with the ability to map technical solutions to operational goals. Experience with ERP systems (e.g., Oracle, SAP) and financial data structures. Proficiency in Tableau, Power BI, or similar tools for self-service reporting and visualization. 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