Benjamin Zvi Jarmon is a prominent figure in the field of Artificial Intelligence (AI) and Machine Learning Operations (MLOps). He is currently the Chief AI Officer (CAIO) at Seldon, a leading company specializing in MLOps solutions for deploying, managing, and scaling machine learning models in production. Benjamin possesses deep expertise in building and operationalizing AI systems, with a strong focus on enabling organizations to derive tangible business value from their machine learning investments. His work often involves bridging the gap between data science, software engineering, and business strategy to create robust, scalable, and ethical AI applications. Prior to Seldon, he held significant roles, including at Bloomberg LP, where he was involved in applying machine learning to financial data and news. Benjamin is known for his thought leadership in the MLOps space, often speaking at industry conferences and contributing to discussions on best practices for AI development and deployment.
Benjamin Zvi Jarmon's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Leads the AI strategy and vision for Seldon, driving innovation in MLOps and helping enterprises successfully deploy and manage machine learning models at scale. Focuses on product development, research, and evangelizing best practices in AI operations.
Frequently invited to speak at major AI and MLOps conferences (e.g., KubeCon, MLOps Summit), sharing insights on topics like model monitoring, explainability, and the future of AI deployment. Contributes to the broader understanding and adoption of MLOps principles.
During his tenure at Bloomberg LP, contributed to the development and application of machine learning models for financial news analysis, market data, and other critical financial services, showcasing an ability to apply AI in complex, real-world scenarios.
Actively involved with and contributes to the open-source MLOps ecosystem, including projects associated with Seldon, thereby fostering community growth and technological advancement in the field.
Brandeis International Business School - Year 2008
Université Paris Dauphine - PSL - Year 2002
San Francisco State University, Lam Family College of Business - Year 2005
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