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    Senior MLOps Engineer - Delhi, India - Recruiting Bond

    Recruiting Bond
    Recruiting Bond Delhi, India

    2 days ago

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    Description

    Job Description :

    Qualifications :

    Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

    Minimum of 3-5 years of experience in DevOps or MLOps.

    Strong programming skills in Python.

    Familiarity with ML frameworks like TensorFlow, Pandas, or Scikit-learn.

    Experience with containerization tools like Docker and orchestration platforms like Kubernetes.

    Hands-on experience with cloud platforms like AWS, Azure, or GCP.

    Excellent understanding of CI/CD tools like Jenkins, GitLab CI, Github Actions Good knowledge of database management, both SQL and NoSQL. Strong problem-solving skills and attention to detail.

    Key Responsibilities :

    Infrastructure Ownership :

    High availability of production systems, and a highly visible and measurable environment

    Automating and streamlining standard infrastructure operations. Provisioning IAM Users, Roles and Permissions

    Proficiency in Auto Scaling techniques and Deployment strategies for high availability and self-healing infrastructure.

    Customizing Metaflow framework to suit our data science needs.

    Making high-level decisions on technologies we use to create and deploy our applications.

    Internal Tools Ownership :

    Terraform and ansible automation with an Infra-As-Code approach to provisioning

    Deployment Pipelines - creation, operation, and upgrades.

    Monitoring systems implementation and support, expanding to provide a comprehensive monitoring solution, At a Glance system statuses, alerting mechanisms.

    Supporting engineers on internal tools, systems, and processes.

    Preferred Skills :

    Experience in setting up monitoring tools like Prometheus, Grafana. Experience with Infra as code like Terraform

    Experience in experimentation tracking tools like WandB

    Familiarity with data tools like DVC, Metaflow, Airflow.

    Knowledge of feature stores and ML metadata management.

    Certifications in DevOps or Cloud platforms.

    Benefits :

    Competitive salary and performance bonuses.

    Flexible work hours and remote working options.

    Opportunities for career advancement and continuous learning.

    )
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