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MLOps Engineer

Take models from notebook to reliable production: pipelines, serving, monitoring and reproducibility.

✦ Guide me on this path with AI

Roadmap progress

0% 0 of 6 steps done

How to read the signals

Importance High Market demand Medium Automation risk Low
  1. 1

    ML & software basics

    Enough modeling plus solid engineering. MLOps is mostly engineering.

    Importance High Market demand High Automation risk Low
  2. 2

    Data & training pipelines

    Reproducible, automated, versioned data and training.

    Importance High Market demand High Automation risk Medium
  3. 3

    Model serving

    APIs, batch vs realtime, scaling inference.

    Importance High Market demand High Automation risk Low
  4. 4

    Experiment tracking

    MLflow/W&B. Know which model and data produced which result.

    Importance High Market demand Medium Automation risk Low
  5. 5

    Monitoring & drift

    Catch data/model drift before it quietly breaks things.

    Importance High Market demand High Automation risk Low
  6. 6

    Infra & cost

    GPUs, containers, autoscaling without burning budget.

    Importance Medium Market demand High Automation risk Low