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 / 623
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?
Customs agent
27%
#128 / 623
View rankingCustoms agent
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 |
|---|---|---|---|
Declarations, tariff class and documents.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 48% | +10.6 |
Database hits, risk and selectivity.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 40% | +7.2 |
Physical inspection of goods and container.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Interview the operator and write the record.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
Fines, appeals and police coordination.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
Judgment on fraud and sensitive goods.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Declarations, tariff class and documents
- Database hits, risk and selectivity
- Physical inspection of goods and container
- Fines, appeals and police coordination
- Judgment on fraud and sensitive goods
- aduanas
- customs
- despachante de aduanas
Sources for this job· O*NET 13-1041.00· ESCO/ISCO 3351