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?
Pediatrician
21%
#428 / 623
View rankingPediatrician
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 |
|---|---|---|---|
Prescribe or administer treatment, therapy, medication, vaccination, and other specialized medical care to treat or prevent illness, disease, or injury in infants and children.EstimateNo public source provides a precise figure. This is our estimate. | 11% | 28% | +3.1 |
Treat children who have minor illnesses, acute and chronic health problems, and growth and development concerns.EstimateNo public source provides a precise figure. This is our estimate. | 11% | 28% | +3.1 |
Examine children regularly to assess their growth and development.EstimateNo public source provides a precise figure. This is our estimate. | 11% | 28% | +3.1 |
Collect, record, and maintain patient information, such as medical history, reports, or examination results.EstimateNo public source provides a precise figure. This is our estimate. | 11% | 12% | +1.3 |
Advise patients, parents or guardians, and community members concerning diet, activity, hygiene, and disease prevention.EstimateNo public source provides a precise figure. This is our estimate. | 10% | 12% | +1.2 |
Examine patients or order, perform, and interpret diagnostic tests to obtain information on medical condition and determine diagnosis.EstimateNo public source provides a precise figure. This is our estimate. | 9% | 12% | +1.1 |
Explain procedures and discuss test results or prescribed treatments with patients and parents or guardians.EstimateNo public source provides a precise figure. This is our estimate. | 9% | 12% | +1.1 |
Monitor patients' conditions and progress and reevaluate treatments as necessary.EstimateNo public source provides a precise figure. This is our estimate. | 7% | 12% | +0.8 |
Other less frequent tasks (weight estimated from frequency).EstimateNo public source provides a precise figure. This is our estimate. | 21% | 28% | +5.9 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- manage research data
- operate open source software
- demonstrate disciplinary expertise
- think abstractly
- manage personal professional development
- synthesise information
- develop own practices continuously
Sources for this job· O*NET 29-1221.00· ESCO/ISCO 2211