IS WORK OVER?

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

ML 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.

TaskShareAIPoints
Train models, features and notebooks.
Estimate

No public source provides a precise figure. This is our estimate.

22%48%+10.6
Evaluate, document and compare runs.
Estimate

No public source provides a precise figure. This is our estimate.

18%42%+7.6
Deploy, monitor and retrain.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Talk to product about what a good error is.
Estimate

No public source provides a precise figure. This is our estimate.

16%15%+2.4
Dirty data, bias and model limits.
Estimate

No public source provides a precise figure. This is our estimate.

14%18%+2.5
On-call, incidents and rollback.
Estimate

No public source provides a precise figure. This is our estimate.

14%16%+2.2
Total100%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

Nursing assistant

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.

TaskShareAIPoints
Answer patient call signals, signal lights, bells, or intercom systems to determine patients' needs.
Estimate

No public source provides a precise figure. This is our estimate.

7%12%+0.8
Turn or reposition bedridden patients.
Estimate

No public source provides a precise figure. This is our estimate.

6%12%+0.7
Provide physical support to assist patients to perform daily living activities, such as getting out of bed, bathing, dressing, using the toilet, standing, walking, or exercising.
Estimate

No public source provides a precise figure. This is our estimate.

5%12%+0.6
Communicate with patients to ascertain feelings or need for assistance or social and emotional support.
Estimate

No public source provides a precise figure. This is our estimate.

4%12%+0.5
Feed patients or assist patients to eat or drink.
Estimate

No public source provides a precise figure. This is our estimate.

4%12%+0.5
Measure and record food and liquid intake or urinary and fecal output, reporting changes to medical or nursing staff.
Estimate

No public source provides a precise figure. This is our estimate.

4%12%+0.5
Supply, collect, or empty bedpans.
Estimate

No public source provides a precise figure. This is our estimate.

4%28%+1.1
Lift or assist others to lift patients to move them on or off beds, examination tables, surgical tables, or stretchers.
Estimate

No public source provides a precise figure. This is our estimate.

4%12%+0.5
Other less frequent tasks (weight estimated from frequency).
Estimate

No public source provides a precise figure. This is our estimate.

62%28%+17.4
Total100%23%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • care for patients
  • diagnose
  • nursing care
  • clinical notes
  • design interfaces
  • prototypes
  • figma
  • hygiene in a health care setting
  • health care legislation
  • disability care

Sources for this job· O*NET 31-1131.00· ESCO/ISCO 5321

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