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    DevOps Engineer - kolkata, India - Adani AI Labs

    Adani AI Labs
    Adani AI Labs kolkata, India

    1 month ago

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    Description

    We are seeking a highly skilled DevOps Engineer with 3-8 years of experience in the Artificial Intelligence industry to join our dynamic team in Kolkata.

    The ideal candidate will have expertise in Data & AI Platform, DataOps, Azure, GCP, Docker, ML Deployment, DevOps, and MLOps.

    As a DevOps Engineer, you will play a critical role in the development, deployment, and management of AI and machine learning solutions.

    This is an exciting opportunity to contribute to groundbreaking projects and be part of a collaborative and innovative work environment at Adani.

    Experience:3-8 years of experience in the Artificial Intelligence industry

    Roles and Responsibilities:
    The DevOps Engineer will be responsible for:Designing, implementing, and maintaining Data & AI Platform infrastructureDeveloping and managing DataOps processes to facilitate seamless data integration and managementDeploying and maintaining AI and machine learning models on Azure and GCP cloud platformsLeveraging Docker for containerization and orchestration of AI applicationsImplementing best practices for ML Deployment and ensuring scalability and reliabilityDriving DevOps practices to enhance the development and deployment of AI solutionsEstablishing and optimizing MLOps processes to streamline the machine learning lifecycle

    Education Qualification:
    Bachelor's degree (B.Tech) or Master's degree (M.Tech) in Computer Science, Engineering, or a related field

    Certification Required:
    Relevant certifications in Azure, GCP, Docker, and DevOps

    Behavioural Skills:
    Strong problem-solving abilities and analytical thinkingExcellent communication and collaboration skillsAdaptability and a proactive approach to learning new technologies

    Technical Skills:
    Expertise in Data & AI Platform and DataOpsProficiency in Azure and GCP cloud platformsExperience with Docker for containerizationIn-depth knowledge of ML Deployment and MLOps best practicesSkilled in implementing DevOps processes for AI development

    Non-Negotiable Skills:
    Data & AI PlatformDataOpsML Deployment

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