Skill-Profil

Named Entity Recognition

Sequence labeling, SpaCy, custom entities, BIO tagging, tokenization

Machine Learning & AI Natural Language Processing

Rollen

wo dieser Skill vorkommt

Stufen

strukturierter Entwicklungspfad

Pflichtanforderungen

die anderen 0 optional

Machine Learning & AI

Natural Language Processing

17.3.2026

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Was wird auf jedem Level erwartet

Die Tabelle zeigt, wie die Tiefe von Junior bis Principal wächst.

Rolle	Pflicht	Beschreibung
NLP Engineer	Pflicht	Knows NER basics: entity types (PER, ORG, LOC), BIO tagging, basic approaches. Applies pre-trained spaCy NER models and evaluates quality via F1-score.

Rolle	Pflicht	Beschreibung
NLP Engineer	Pflicht	Independently trains and fine-tunes NER models for domain-specific tasks. Annotates data, configures BIO/BILOU schemes, trains models on spaCy and Hugging Face transformers.

Rolle	Pflicht	Beschreibung
NLP Engineer	Pflicht	Designs production NER systems: multi-model ensemble, active learning for annotation, nested NER, cross-lingual transfer. Optimizes for high accuracy on domain-specific data.

Rolle	Pflicht	Beschreibung
NLP Engineer	Pflicht	Defines NER strategy for the team. Establishes guidelines for annotation, model selection, evaluation methodology. Coordinates annotator work and ensures labeling consistency.

Rolle	Pflicht	Beschreibung
NLP Engineer	Pflicht	Shapes enterprise NER strategy for the organization. Defines unified entity taxonomy, cross-domain NER approaches, and quality assurance standards for all company NER systems.

Junior 1 Anforderungen

NLP Engineer
Pflicht

Knows NER basics: entity types (PER, ORG, LOC), BIO tagging, basic approaches. Applies pre-trained spaCy NER models and evaluates quality via F1-score.

Middle 1 Anforderungen

NLP Engineer
Pflicht

Independently trains and fine-tunes NER models for domain-specific tasks. Annotates data, configures BIO/BILOU schemes, trains models on spaCy and Hugging Face transformers.

Senior 1 Anforderungen

NLP Engineer
Pflicht

Designs production NER systems: multi-model ensemble, active learning for annotation, nested NER, cross-lingual transfer. Optimizes for high accuracy on domain-specific data.

Lead / Staff 1 Anforderungen

NLP Engineer
Pflicht

Defines NER strategy for the team. Establishes guidelines for annotation, model selection, evaluation methodology. Coordinates annotator work and ensures labeling consistency.

Principal 1 Anforderungen

NLP Engineer
Pflicht

Shapes enterprise NER strategy for the organization. Defines unified entity taxonomy, cross-domain NER approaches, and quality assurance standards for all company NER systems.

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