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    Machine Learning Engineer

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    Machine Learning

    Location:

    Stockholm
    Job Category:
    Machine Learning

    Job description:
    . Possess a bachelor's or master's degree in computer science, engineering, or a similar discipline, or comparable real-world experience.
    . Possess at least four years of professional experience in a machine learning engineer-related capacity or roles.
    . A hands-on individual with strong software engineering abilities who enjoys coding and using software engineering techniques in machine learning and artificial intelligence projects.
    . Possess expertise creating software solutions that have been grown at a larger company and successfully put into production.
    . Possess a solid foundation in Python programming (four or more years) and many years of coding expertise in contemporary programming languages.
    . Possess excellent practical expertise with cloud technologies for machine learning development, particularly Vertex AI and ideally Google Cloud Platform.
    . Possess a strong background in MLOps procedures, ML pipeline development, data pipelines, and production deployment of ML applications.
    . Possess a solid working understanding of a range of AI/ML methodologies and have worked with several frameworks.
    . Possess a strong grasp of cloud data storage technologies and data quality, as well as expertise working with and designing for large volumes of heterogeneous data (both batch and stream), ideally with hands-on DBT development.
    . possess the ability to drive design solutions, align and analyze requirements, divide work into tasks and stories, and ensure that best practices and organizational standards are applied.
    - knowledgeable about data-driven development, teamwork, agile methods of working, and responsible and dependable experimentation.
    Cloud certification is required. Professional Machine Learning Engineer at GCP
    This role is for candidates who are having Eligible Visa / work permit to work in Sweden.

    neha.afreen@avanceservices.uk
    Avance Consulting
    170496

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