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    Machine Learning Engineer - Dubai, United Arab Emirates - KINGSTON STANLEY

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    Description

    Model Deployment andMonitoring - Deploy machine learning models intoproduction environments and implement robust monitoring solutionsfor performance and reliability.

    Infrastructure Management -Work closely with DevOps and IT teams to maintainand enhance the infrastructure required for machine learningoperations, leveraging cloud platforms and containerizationtechnologies.

    -Automation - Develop and maintainautomation scripts and tools for model deployment, scaling, andmonitoring to streamline machine learning operationsworkflows.

    -Collaboration - Collaborate with datascientists, software engineers, and other stakeholders tounderstand model requirements, integration needs, and performanceexpectations.

    -Troubleshooting - Investigate andresolve issues related to machine learning model deployment,performance, and scalability in a timely manner.

    Security and Compliance -Ensure machine learning operations adhere tosecurity and compliance standards, implementing best practices fordata privacy and model governance.

    Skills &Background

    -Experience in deploying andmaintaining machine learning models inproductionenvironments.

    -Proficiency in cloudplatforms

    Strong programmingskills in languagesPython

    Experiencewith relevant frameworks (e.g., TensorFlow,PyTorch).

    Familiarity withcontainerizationtechnologies (Docker,Kubernetes).

    Solid understandingof DevOps practices andtools.

    Experience withcontinuous integration and continuous deployment(CI/CD) pipelines.

    Knowledge ofmachine learning model servingplatforms.



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