Corizona is a company that focuses on people-centered design with an AI-first framework. In a rapidly evolving landscape driven by AI technologies, Corizona believes that design plays a critical role. Their philosophy is that AI systems should not only drive innovation and business success but also serve as a force for good by prioritizing the human experience. Corizona uses design strategy and data to drive growth and deliver customer-centric transformations that touch hearts. Their creative solutions are intuitive, inclusive, and respectful of diverse user needs, aimed at helping businesses reinvent themselves.
medicinal chemistry and early drug discovery
November 10, 2024
Corizona is a company that focuses on people-centered design with an AI-first framework. In a rapidly evolving landscape driven by AI technologies, Corizona believes that design plays a critical role. Their philosophy is that AI systems should not only drive innovation and business success but also serve as a force for good by prioritizing the human experience. Corizona uses design strategy and data to drive growth and deliver customer-centric transformations that touch hearts. Their creative solutions are intuitive, inclusive, and respectful of diverse user needs, aimed at helping businesses reinvent themselves.
medicinal chemistry and early drug discovery
β’ Federato technologies is a venture-backed startup based in Menlo Park, CA looking to secure a full-stack data/architecture engineer. β’ The role will report directly to the CTO and you will be the first non-founder engineering hire. β’ You will be making fundamental development and architectural decisions each and every day and play a significant role in the companyβs long term success.
β’ Demonstrated interest in engineering for impact β’ 4+ years of industry experience in data integration, engineering, and system architecture β’ Work experience delivering significant ML implementations, ideally in an enterprise setting β’ Broad familiarity with: β’ The CNCF ecosystem (Docker, Kubernetes, etc) and major cloud vendors β’ CI/CD and ML Ops β model deployment, versioning, and monitoring β’ Core security and networking infrastructure in enterprise environments β’ Event backbone and job pool platforms (Kafka, etc) β’ Willingness to get hands dirty across a broad variety of internal and client builds
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