The Index · ML engineering

ML engineering

Training, serving and monitoring models — MLOps, feature stores, drift, ONNX/TensorRT. `model-evaluation` only covers scoring output; a computer-vision or MLOps capability had no home. tashan measures 14 capabilities for this work. Ranked on upkeep, freshness and real adoption, every input public. How we measure ›

#CapabilitytashanEvidenceHealth
1
AI Context supporting npm deep
69
2k/wkactive
2
Agent Nuvira supporting npm solid
71
5k/wkactive
3
56
241/wkactive
4
Gate402 supporting npm solid
53
234/wkactive
5
Gyoshu supporting plugin solid
49
240 ★stable
6
Edgegate supporting npm solid
42
11/wkactive
7
Compare CLI supporting npm solid
40
66/wkactive
8
Sparkrun supporting plugin
69
449 ★active
9
Neurarch supporting npm
67
2k/wkactive
10
Gerbil supporting npm
64
436/wkactive
11
Gemini · houtini supporting npm
63
819/wkactive
12
Inference supporting npm
60
482/wkactive
13
RASON supporting npm
39
78/wkactive
14
Drift supporting npm
39
31/wkactive

Who does this work

O*NET records this as a core process step for 8 occupations, including Astronomers, Biostatisticians, Mathematicians, Operations Research Analysts, Physicists, Quality Control Analysts, Software Developers, Statisticians.

Recorded there as: "Apply mathematical principles or statistical approaches to solve problems in scientific or applied fields". We publish it under the name practitioners use.

Recently changed in ML engineering

15 changes recorded here in the last 45 days, newest and most serious first.

This page cannot know what you run. tashan doctor reads your own config and names which of these you have — Pro adds the history behind each, and what to move to.
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Other work

Agent configurationAgent developmentAnimation and generated imageryApplication developmentAttributionAudio productionAuditBookkeepingBrowser automationCAD modellingCareer developmentCode reviewContent marketingContract reviewCopy editingCopywritingCustomer supportDashboards and reportingData pipelinesData qualityDatabase accessDebuggingDesign critiqueDocument productionExploratory data analysisFinancial modellingHardware designIncident responseInfrastructure and deploymentKnowledge managementLiterature reviewLogistics and fulfilmentMarket analysisMessaging and emailModel evaluationObservabilityPRDs and specsPerformance optimisationProcess automationProduct strategyProject managementPrompt engineeringQuery optimisationRecruiting and hiringRegulatory complianceRetrieval systemsRisk assessmentSEOSales pipelineScientific researchSecurity reviewSoftware architectureStatistical modellingTechnical documentationTest automationTraining materialUser researchVersion controlVideo editingVisual designWeb developmentWeb researchWeb scraping

Occupational data from the O*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration, used under CC BY 4.0. tashan consolidated its process steps into the terms practitioners use; O*NET does not endorse this site.

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15 changes across ML engineering in the last 45 days. A new advisory, an install script appearing, a maintainer leaving. All listed free above. Pro keeps the series behind each row, so a number today comes with a direction.

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