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    AI Data Scientist - Ottawa, ON, Canada - Edjuster

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    Description
    Cloud RAN seeks to work closely with our customers that are passionate about the delivery of virtualized RAN solutions. We try to accelerate product development with new fresh thinking. We challenge established flow with new methodologies and are active in open-source communities
    Systems DevOps Team
    Organization looks at continuous integration/deployment and solution integration for the e2e virtualized system
    Horizontally (e2e control, user, management planes)
    Systemically (performance, robustness, serviceability)
    Act as an influencer to enable world class development environment and stellar UX developer experience (data visualization)
    Ability to speak-up and challenge status-quo, while championing speak-up inclusive environment and gaining stakeholder consensus using fact-based analysis
    Able to architect and present requirements for creating and maintaining data pipelines including underlying infrastructure to diverse audience
    Expert awareness and knowledge of latest AI/ML techniques and SOTA tools
    Act as liaison with suppliers and developers to link academic research with industrial deployment
    SPOC with CR, DNEW, ER, S&T to further ongoing projects and new research areas
    Prior experience in test automation development, uplifting test cases and performing automated quality assurance via CI/CD pipeline enabling tools & AI/ML powered observability dashboards
    Change agent and driver of world class developer efficiency via digital testing, shift-left, DevOps, canary deployment, code instrumentation for advanced system monitoring
    D. level degree in computer science, electrical engineering or data science (AI/ML)
    Expert working knowledge of industry AI/ML tools and 3PP software
    Experience with multiple programming languages (e.g., C, Matlab, Julia, Java, Python, Perl...)
    Expert understanding of the Linux ecosystem and with Linux kernel
    Above average knowledge of cloud-native core principles, DevOps, ADP, microservices, K8S, Docker, Helm, CI/CD, React
    Qualities of the Ideal Candidate
    Good planning and organizational skills
    The team believes that the right candidate will also care about diversity and inclusion, encourage speak-up environments, maintain safe-spaces in the team, and come with a strong can-do, customer centric and collaborative attitude
    In addition, we offer flex working hours and hybrid work policies so you can focus on what's important Do you believe that diverse, inclusive teams drive performance and innovation?
    For more information about Ericsson, please visit our website: (

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