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?
Cloud architect
28%
#82 / 623
View rankingCloud architect
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 |
|---|---|---|---|
Diagrams, ADRs and a first IaC pass.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 48% | +10.6 |
Cost estimate, Well-Architected and gaps.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 40% | +7.2 |
Review PRs, security and network.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 20% | +3.2 |
Align with security, finops and product.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
PoCs, real failures and vendor limits.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
Sign the design and own the incident.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- building plans
- renders
- sign a project
- Diagrams, ADRs and a first IaC pass
- Cost estimate, Well-Architected and gaps
- Review PRs, security and network
- Align with security, finops and product
- PoCs, real failures and vendor limits
- Sign the design and own the incident
- arquitecto cloud
Sources for this job· O*NET 15-1243.01· ESCO/ISCO 2511