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

Embroiderer

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
Drawing, hoop and thread colour.
Estimate

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

16%32%+5.1
Stitch, raised work and the one that tangles.
Estimate

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

22%8%+1.8
Machine, program and the one that eats the cloth.
Estimate

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

16%22%+3.5
Finish, the back and not leaving knots.
Estimate

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

16%28%+4.5
The garment, the deadline and not changing the drawing halfway.
Estimate

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

16%18%+2.9
That the thread tells, and not pulling the cloth.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • hoop
  • raised work
  • stitches
  • threads
  • the back
  • machine programs
  • pricked drawings
  • knots

Sources for this job· O*NET 51-6051.00· ESCO/ISCO 7533

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