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    Only 24h Left DevOps Engineer - Kolkata, India - Adani AI Labs

    Adani AI Labs
    Adani AI Labs Kolkata, India

    3 weeks 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 infrastructure
    • Developing and managing DataOps processes to facilitate seamless data integration and management
    • Deploying and maintaining AI and machine learning models on Azure and GCP cloud platforms
    • Leveraging Docker for containerization and orchestration of AI applications
    • Implementing best practices for ML Deployment and ensuring scalability and reliability
    • Driving DevOps practices to enhance the development and deployment of AI solutions
    • Establishing 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 problemsolving abilities and analytical thinking
    • Excellent communication and collaboration skills
    • Adaptability and a proactive approach to learning new technologies

    Technical Skills:

    • Expertise in Data & AI Platform and DataOps
    • Proficiency in Azure and GCP cloud platforms
    • Experience with Docker for containerization
    • In-depth knowledge of ML Deployment and MLOps best practices
    • Skilled in implementing DevOps processes for AI development

    Non-Negotiable Skills:

    • Data & AI Platform
    • DataOps
    • ML Deployment
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