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?
Waiter
28%
#86 / 623
View rankingWaiter
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 |
|---|---|---|---|
Collect payments from customers.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Check with customers to ensure that they are enjoying their meals, and take action to correct any problems.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Remove dishes and glasses from tables or counters, and take them to kitchen for cleaning.EstimateNo public source provides a precise figure. This is our estimate. | 5% | 28% | +1.4 |
Prepare checks that itemize and total meal costs and sales taxes.EstimateNo public source provides a precise figure. This is our estimate. | 5% | 28% | +1.4 |
Clean tables or counters after patrons have finished dining.EstimateNo public source provides a precise figure. This is our estimate. | 5% | 28% | +1.4 |
Take orders from patrons for food or beverages.EstimateNo public source provides a precise figure. This is our estimate. | 5% | 28% | +1.4 |
Write patrons' food orders on order slips, memorize orders, or enter orders into computers for transmittal to kitchen staff.EstimateNo public source provides a precise figure. This is our estimate. | 5% | 28% | +1.4 |
Inform customers of daily specials.EstimateNo public source provides a precise figure. This is our estimate. | 5% | 28% | +1.4 |
Other less frequent tasks (weight estimated from frequency).EstimateNo public source provides a precise figure. This is our estimate. | 58% | 28% | +16.2 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- wine characteristics
- sparkling wines
- select glassware for serving
- comply with food safety and hygiene
- order supplies
- organise wine cellar
- upsell products
- check wine quality
- serve wines
- assist customers
Sources for this job· O*NET 35-3031.00· ESCO/ISCO 5131