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    Job · 20019658

    IBU CONSULTING logo

    Machine Learning Operations (MLOps) Professional

    IBU CONSULTING · Bengaluru · onsite · Posted 20d ago

    Undisclosed2–6 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    • Strong hands-on experience in MLOps / ML Engineering / DevOps for Machine Learning.
    • Strong experience with AWS SageMaker.
    • Hands-on experience with Terraform and Infrastructure as Code.
    • Good knowledge of AWS services
    • Experience building SageMaker Pipelines and automated ML workflows.
    • Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or AWS CodePipeline.
    • Strong understanding of Docker and containerization.
    • Good knowledge of Python and scripting.
    • Experience with Git/GitHub/GitLab.



    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Skills

    ScriptingJenkinsDevopsGithubamazon web servicesPythonInfrastructureGITMachine Learning

    About IBU CONSULTING

    IBU CONSULTING logo

    IBU CONSULTING

    IT Services & Consulting

    5

    employees

    2013

    13 years old

    Gurgaon / Gurugram, Haryana

    India

    ₹5.4L PA avg

    Avg at IBU CONSULTING

    About

    IBU is expert in bespoke software development in different industries and competencies. We deliver business solutions, ranging from e-commerce, ERP solutions, Telecom solutions, Banking and financial solutions to name a few. Our goal is to provide you with quality software at reasonable prices. Our experienced project managers are at the fore front of technology and they are ready to complete your project in the shortest possible time.

    Industries

    Consulting

    Employee ratings

    10 reviews

    3.6/ 5

    Culture

    3.0

    Career growth

    3.0

    Work-life

    3.0

    Employees rate it well for

    Compensation & Benefits38Skill Development37

    Find them on

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    Machine Learning Operations (MLOps) Professional · waiting for your command