MLOps Engineer - Gurugram, India - Invokhr

    Invokhr
    Invokhr Gurugram, India

    3 weeks ago

    Default job background
    Description

    Job Description :
    Experience with Azure ML and MLOps Engineering for deployment of Machine Learning models.

    • Experience in working in a complex environment running enterprise DevOps and/or MLOps solutions on the Azure Cloud, ideally focussed on AzureML technologies, tooling and working practises.
    • Experience of DevOps/MLOps transformation and CI/CD implementation in a heterogeneous and largescale technology landscape.
    • A solid foundation of experience with DevOps within the Azure
    • A solid understanding and demonstrated experience with AzureML, Containerisation, WebApps Kubernetes, Cognitive Services and other MLOps tools.

    Skills and Experience :

    • AzureML platform and associated services for development and deployment of Machine Learning Models


    • Python, Javascript

    • Expert
    • Terraform
    • ARM/BICEP
    • Azure DevOps tooling, setup, and deployments
    • MLOps processes, culture, and tools
    • Azure Cloud infrastructure, design and security
    • Continuous integration and continuous delivery pipelines development
    • Infrastructure as code, release orchestration tools, observability tools
    • Solid experience working in Agile environment
    • Application integration, API0s

    Key accountabilities :
    Accountable for the successful deployment, resilience, and reliability of the analytics models.

    • Accountable for the infrastructure and engineering required to support the development, deployment and support of analytical models in AzureML.
    • Support for the tools and platform used to develop and deploy analytical models within Azure and RSA in general.
    • Building on or DevOps/MLOps foundation to deliver an enterprisewide machine learning capability based on AzureML, and other Azure services, including Cognitive Services.
    • Define and implement DevOps & MLOps best practices
    • Define MLOps tools strategy for Release Orchestration, CI/CD Pipelines etc.
    • Collaborate with teams to synchronise CI/CD activities with DevOps, Data Scientists and Data Engineers.
    • Coordinate with and support projects and programmes by executing environment creation, integration, and management activities.
    • Working across teams from a number of suppliers (including IT Provision, system development, business units and programme management).
    • Contribute to technology roadmap and cloud analytics strategy
    • Change and deployment management for all analytics assets that are hosted on our cloud estate
    • Continuous improvement and transformation initiatives for MLOps / DevOps in RSA
    )