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  • Posted: Feb 2, 2023
    Deadline: Not specified
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    Global Technology Recruitment Specialists. We source and select top talent across all technology sectors globally. Founded in 2003, our vertical specialists provide global transformational talent in data, digital, technology, cyber and embedded. As part of the Xcede Group, we work with businesses, from pioneering start-ups to global brands, to find pro...
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    Machine Learning Engineer PR/116354

    Purpose Statement

    • To build, implement, improve and support the AI platform which will support delivery of the Companies AI strategy.
    • To collaborate in creating and delivering the AI strategy to compete in a fast changing landscape. The effective use of AI technologies will be a key strategic differentiator in the future.

    Experience:

    • Strong SQL and Python Experience
    • Hands on Experience in a Machine Learning environment
    • Experience with ML frameworks and tools (e.g. pandas, numpy, scikit-learn, TensorFlow, Pytorch, Spark MLlib)
    • Experience with modern ETL, compute and orchestration frameworks, e.g. Apache Spark, Apache Flink, Apache Kafka, etc.
    • Development experience in both Windows and Linux
    • Experience with container technologies, e.g. Docker, Kubernetes
    • Experience working with ML platforms, e.g. MLflow, Kubeflow, etc.
    • Experience working with Data Science platforms, e.g. Dataiku, Domino, etc.
    • Experience with cloud-based infrastructure, e.g. Azure, AWS, GCP; ideally AWS

    Qualifications (Minimum)

    • NQF7 Degree in Information Technology - Computer Science or Engineering - Other

    go to method of application »

    Machine Learning Engineer PR/116355

    Purpose Statement

    • To build, implement, improve and support the AI platform which will support delivery of the Companies AI strategy.
    • To collaborate in creating and delivering the AI strategy to compete in a fast changing landscape. The effective use of AI technologies will be a key strategic differentiator in the future.

    Experience:

    • Strong SQL and Python Experience
    • Hands on Experience in a Machine Learning environment
    • Experience with ML frameworks and tools (e.g. pandas, numpy, scikit-learn, TensorFlow, Pytorch, Spark MLlib)
    • Experience with modern ETL, compute and orchestration frameworks, e.g. Apache Spark, Apache Flink, Apache Kafka, etc.
    • Development experience in both Windows and Linux
    • Experience with container technologies, e.g. Docker, Kubernetes
    • Experience working with ML platforms, e.g. MLflow, Kubeflow, etc.
    • Experience working with Data Science platforms, e.g. Dataiku, Domino, etc.
    • Experience with cloud-based infrastructure, e.g. Azure, AWS, GCP; ideally AWS

    Qualifications (Minimum)

    • NQF7 Degree in Information Technology - Computer Science or Engineering - Other

    Method of Application

    Use the link(s) below to apply on company website.

     

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