NLP AI Specialist — Text Analytics & Language Generation

Placements24

Queenstown

On-site

NZD 120,000 - 180,000

Full time

8 days ago
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Benefits offered by this job

Competitive salary
Professional development
Cutting-edge AI tools
Collaborative environment

Job summary

Placements24 is seeking an experienced AI NLP Specialist to join its Queenstown team. You will develop, train, and deploy advanced NLP solutions that help machines understand and generate human language, across text analysis, sentiment, chatbots, translation, and information extraction.

You will collaborate with software engineers to integrate NLP capabilities into applications, while designing robust models and pipelines. A strong background in ML for NLP and data preprocessing is essential.

Qualifications

  • Master's or PhD in CS, Computational Linguistics, or related field.
  • 3+ years hands-on NLP development and research.
  • Proficiency in Python and NLP libraries (NLTK, spaCy, Transformers).
  • Strong understanding of deep learning architectures for NLP (RNNs, LSTMs, Transformers).
  • Experience with data preprocessing techniques for text data.

Responsibilities

  • Develop, train, and deploy NLP models for text classification, entity recognition, and summarization.
  • Design and implement algorithms for sentiment analysis, topic modeling, and language generation.
  • Work with large text datasets: cleaning, preprocessing, feature engineering.
  • Collaborate with software engineers to integrate NLP into applications.
  • Evaluate and fine-tune NLP models to improve accuracy and performance.

Skills

Python programming
NLP expertise
Deep learning for NLP
Data preprocessing

Education

Master's or PhD in Computer Science / Computational Linguistics

Tools

NLTK
spaCy
Transformers

Job description

Placements24 is seeking an experienced AI NLP Specialist to join its Queenstown team. You will develop, train, and deploy advanced NLP solutions that help machines understand and generate human language, across text analysis, sentiment, chatbots, translation, and information extraction.

You will collaborate with software engineers to integrate NLP capabilities into applications, while designing robust models and pipelines. A strong background in ML for NLP and data preprocessing is essential.

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