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Skills Required

data aws azure mlflow sagemaker docker python scripting model learning ml networking security

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title: Data Specialist

Location: Bangalore


Required Skills:

  • Hands-on experience with

    cloud platforms

    (AWS, Azure, or GCP).
  • Proficiency in

    MLOps tools

    like MLflow, Kubeflow, or SageMaker Pipelines.
  • Strong knowledge of

    Docker, Kubernetes

    , and container orchestration.
  • Proficient in

    Python, Bash

    , and basic scripting for automation.
  • Experience with

    CI/CD tools

    and

    version control systems

    (e.g., Git).
  • Familiarity with

    data and model versioning

    tools like DVC.
  • Good understanding of

    machine learning lifecycle

    and ML model management.
  • Knowledge of

    networking, security, and infrastructure automation

    .

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