AI Engineer - Forward Deployed Engineer

Beschreibung

Job Zusammenfassung In diesem Job entwickelst du innovative GenAI-Anwendungen, berätst Kunden bei technischen Fragen und optimierst Produktionsrollouts, während du eng mit Produkt- und Engineering-Teams zusammenarbeitest. Job Zusammenfassung In diesem Job entwickelst du innovative GenAI-Anwendungen, berätst Kunden bei technischen Fragen und optimierst Produktionsrollouts, während du eng mit Produkt- und Engineering-Teams zusammenarbeitest. Deine Rolle im Team The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems. Own production rollouts of consumer and internally facing GenAI applications. Serve as a trusted technical advisor to customers across a variety of domains. Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally. Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap. Unsere Erwartungen an dich Ausbildung Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience. Qualifikationen Expertise in deploying production-grade GenAI applications, including evaluation and optimizations. Passion for collaboration, life-long learning, and driving business value through AI. Willing to travel once every 4-8 weeks to see customers (as needed). Erfahrung Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy. Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP. Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike. [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets. Unser Angebot At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. Benefits Work-Life-Integration 🏠 Home Office Themen mit denen du dich im Job beschäftigst Machine Learning AI Metadaten Level: Erfahren Job Feld: Data, Application Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Full Remote Unternehmenstyp: Etablierte Firma Branche: Internet, IT, Telekom Ort: München | Deutschland

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