AI & Machine LearningFull-timeHybrid

NLP Engineer

Design and build natural language processing systems at APPIT Software in Toronto, creating intelligent text analytics, entity extraction, and language understanding solutions for global enterprise clients.

Toronto, Canada

Full-time

AI & Machine Learning

Responsibilities

Design and implement NLP pipelines for text classification, NER, and sentiment analysis
Build information extraction systems for structured data from unstructured documents
Develop multilingual NLP solutions supporting global enterprise requirements
Fine-tune transformer models for domain-specific language understanding tasks
Create text preprocessing and normalization pipelines for diverse data sources
Evaluate and benchmark NLP models using industry-standard metrics and datasets

Requirements

3-5 years of experience in NLP and computational linguistics
Strong proficiency in Python with experience in spaCy, Hugging Face Transformers, and NLTK
Experience with transformer-based NLP models (BERT, RoBERTa, T5, GPT variants)
Knowledge of text classification, named entity recognition, and relation extraction
Experience with text embedding models and semantic similarity techniques
Understanding of language model pre-training and domain adaptation

Nice to Have

Experience with multilingual NLP and cross-lingual transfer
Knowledge of knowledge graph construction from text
Background in computational linguistics or formal semantics

Skills

PythonspaCyHugging FaceBERTNERText ClassificationEmbeddingsMultilingual NLP

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Toronto, Canada

Full-time

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Responsibilities

Design and implement NLP pipelines for text classification, NER, and sentiment analysis
Build information extraction systems for structured data from unstructured documents
Develop multilingual NLP solutions supporting global enterprise requirements
Fine-tune transformer models for domain-specific language understanding tasks
Create text preprocessing and normalization pipelines for diverse data sources
Evaluate and benchmark NLP models using industry-standard metrics and datasets

Requirements

3-5 years of experience in NLP and computational linguistics
Strong proficiency in Python with experience in spaCy, Hugging Face Transformers, and NLTK
Experience with transformer-based NLP models (BERT, RoBERTa, T5, GPT variants)
Knowledge of text classification, named entity recognition, and relation extraction
Experience with text embedding models and semantic similarity techniques
Understanding of language model pre-training and domain adaptation

Nice to Have

Experience with multilingual NLP and cross-lingual transfer
Knowledge of knowledge graph construction from text
Background in computational linguistics or formal semantics

Skills

PythonspaCyHugging FaceBERTNERText ClassificationEmbeddingsMultilingual NLP

NLP Engineer

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Requirements

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Skills

Apply for this position

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