Automation index
How much of a ML engineer’s job can AI already do?
Training a baseline and a notebook is fast. Shipping it, watching drift, and owning the miss is not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
ML engineer
29%
AI can already do 29% of this job.
#64 / 733
View rankingML engineer
Where 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 |
|---|---|---|---|
Train models, features and notebooks.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 48% | +10.6 |
Evaluate, document and compare runs.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 42% | +7.6 |
Deploy, monitor and retrain.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to product about what a good error is.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Dirty data, bias and model limits.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
On-call, incidents and rollback.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
| Total | 100% | 29% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Train models, features and notebooks
- Evaluate, document and compare runs
- Deploy, monitor and retrain
- Talk to product about what a good error is
- Dirty data, bias and model limits
- On-call, incidents and rollback
- machine learning engineer
- ingeniero ml
- mlops
Sources for this job· O*NET 15-1221.00· ESCO/ISCO 2511
IS WORK OVER?
Geotechnical engineer
22%
#391 / 733
View rankingGeotechnical engineer
Where 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 |
|---|---|---|---|
Borehole, the sample and the report.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Field, the water table and the one that was not read.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Foundations, the clay and not hiding it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Slope, the factor and not signing the one that slips.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The architect, the rush and not jumping to a yes.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
If it stands, sign it. And not hiding the clay.EstimateNo 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
Skills and activities
- boreholes
- water table
- clays
- foundations
- slopes
- soil samples
- geotech reports
- factors of safety
Sources for this job· O*NET 17-2151.00· ESCO/ISCO 2142