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    MLOPS Engineer - Charlotte, United States - Accord Technologies Inc

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    Description

    Title:
    Machine learning Engineer for production (MLOps Engineer)


    Locations:
    Charlotte, NC or

    Islin, NJ or

    Dallas, TX (Hybrid, 3 days onsite needed) any location is fine.

    Number of positions:8


    Visa:
    Any visa independent candidates


    Rate:
    on W2

    Job Description


    10+ years of IT experience in which at least 6+ years of relevant experience primarily in MLOps, Cloud, Dockerization & Containerization.

    Expereince in AI/ML operations and automation of various proceses as part of the MDLC
    Responsible for Design and Estimation of MLOps work.
    Responsible for creating/updating JIRA stories related to MLOps work.
    Manage Code Repositories - Manage, Document, Control and Innovate Development and Release procedure. - Configure automated deployment on multiple environment
    Working on performance tuning and optimization, bottleneck problems analysis.
    Extensive experience with infrastructure provisioning and configuring public and hybrid clouds.
    Dockerization of Machine Learning scripts and deployment in various Cloud Platform.
    Ability to automatically create and deploy Machine Learning notebooks. Also, ability to establish connection with Big Data infrastructure from the Machine Learning notebooks.
    Experience with CI/CD pipelines and related tools such as Jenkins or CircleCI and Google Cloud Build.
    Setup of Monitoring and Alerts for Production workloads in Various Cloud Platform.
    Experience in automating multiple systems using Bash and languages such as Python and Go.
    Recommend and implement automated solutions that will improve the performance and reliability of the system.
    Strong understanding and experience operating in an agile development environment.
    Strong communication skills across the board, with a passion for finding and sharing best practices and driving greater discipline.
    Excellent verbal and written communication skills in English.

    #J-18808-Ljbffr


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