Automation index
How much of a MLOps engineer’s job can AI already do?
A model pipeline comes earlier. Not serving rubbish in prod without skipping the monitor do not.
This percentage does not predict how many people will lose their jobs.
IS WORK OVER?
MLOps engineer
27%
AI can already do 27% of this job.
#198 / 773
View rankingWhere the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Pipeline, the dataset and the drift.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Registry, the version and not mixing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Prod, the rubbish and the monitor.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Rollback, the model and not leaving the one that hallucinates.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The scientist, the rush and not skipping the test.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not serve rubbish, and not skipping the monitor.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model pipelines
- drift
- model registry
- monitors
- model rollback
- datasets
- versions
- not serve rubbish
Sources for this job· O*NET 15-2051.00· ESCO/ISCO 2511