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    MLOps Azure Engineer - Delhi, India - Randstad India

    Randstad India
    Randstad India Delhi, India

    3 days ago

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    Description

    Job Description :

    • Lead MLOps initiatives, collaborating with key stakeholders to strategize, plan, and deliver projects.
    • Design, develop, and deploy complex AI/ML solutions on cloud infrastructure, ensuring scalability for changing business and technical needs.
    • Create infrastructure and architecture diagrams for projects.
    • Project manage, allocate tasks to junior ML engineers, and ensure project closure.
    • Enhance coding practices, conduct code reviews, and implement best practices for model management.
    • Provide thought leadership on new technologies, tools, and suggest improvements.
    • Support the interview process for hiring both junior and senior ML engineers.
    • Specialize in the deployment, monitoring, and maintenance of AI models in production.
    • Collaborate with governance lead and data scientists to institutionalize best practices.
    • Build deployment pipelines, implement automation, and specialize in containerization and orchestration (e.g., Docker, Kubernetes).
    • Implement continuous integration and continuous deployment (CI/CD) for efficient workflows.
    • Focus on scalability and resource management.

    Primary Skills/Technical Stack :

    • MLOps
    • Cloud Infrastructure
    • ML Engineering &ML Ops workflows & tools
    • Deployment, Monitoring, and Maintenance of AI Models
    • Deployment Pipelines,Automation
    • Containerization (e.g., Docker)
    • Orchestration (e.g., Kubernetes)
    • Continuous Integration and Continuous Deployment (CI/CD)

    Secondary Skills/Good to Have :

    • Expertise in specific cloud platforms (e.g., AWS Sagemaker, Azure, Google Cloud)
    • Experience with specific programming languages (e.g., Python, R)
    • Understanding of data governance and compliance
    • Background in software development practices
    • Experience with version control systems (e.g., Git)
    • Proficiency in scripting languages for automation
    • Understanding of DevOps principles and practices)
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