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?
Maintenance technician
22%
#386 / 623
View rankingMaintenance technician
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 |
|---|---|---|---|
CMMS, history and spare orders.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 40% | +7.2 |
Procedures, written LOTO and logs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Diagnose, strip and repair.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 12% | +2.4 |
Field preventative and measurements.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
On-call, shutdowns and production pressure.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
Safety, permits and not leaving the plant down.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- CMMS, history and spare orders
- Procedures, written LOTO and logs
- Diagnose, strip and repair
- Field preventative and measurements
- On-call, shutdowns and production pressure
- tecnico de mantenimiento
- maintenance technician
- mantenimiento industrial
Sources for this job· O*NET 49-9041.00· ESCO/ISCO 3115