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.

Task comparison

IS WORK OVER?

27%

AI can already do 27% of this job.

#198 / 773

MLOps engineer

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. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Registry, the version and not mixing. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Prod, the rubbish and the monitor. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Rollback, the model and not leaving the one that hallucinates. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The scientist, the rush and not skipping the test. Estimate No 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. Estimate No 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

IS WORK OVER?

22%

#388 / 773

Embedded developer

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
Firmware, the peripheral and the buffer. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Field, the hang and the log that is not there. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Watchdog, the reset and not leaving it blind. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Draw, the battery and not sleeping it wrong. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Hardware, the revision and not fighting the pin. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That it does not hang, and not leaving the watchdog blind. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		22%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low