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 / 643
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?
Hepatologist
27%
#158 / 643
View rankingHepatologist
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 |
|---|---|---|---|
Labs, fibroscan and the stage.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Clinic, the drink and the one who denies it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Biopsy, the risk and not needling extra.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Antiviral, adherence and the one who quits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The transplant board and not jumping to a yes.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Call the liver, and talking to the family.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
- fibroscan
- liver biopsy
- hepatitis
- cirrhosis
- liver transplant
- antivirals
- liver clinic
- decompensation
Sources for this job· O*NET 29-1216.00· ESCO/ISCO 2212