NLP Specialist: AI Text Solutions|Remote & Flexible Hours

Placements24; Mossel Bay; Hybrid; ZAR 650,000 - 900,000; Full time

Benefits offered by this job

Health insurance

Flexible hours

Remote work options

Learning & development

Collaborative team

Job summary

Placements24 in Mossel Bay is seeking an experienced NLP Specialist to join its AI team. You will design and deploy state-of-the-art NLP models for sentiment analysis, summarization, translation, and chatbots, affecting customer interactions and data insights.

The role requires a strong academic background and practical ML skills, with Python proficiency and experience with libraries like NLTK, SpaCy, and Hugging Face, plus TensorFlow or PyTorch. Collaborative, product-focused environment.

Qualifications

• Master's or PhD in CS or Linguistics with NLP focus.
• Minimum 3 years of NLP development experience.
• Strong Python and NLP library experience (NLTK, SpaCy, Hugging Face).
• Hands-on experience with TensorFlow or PyTorch for NLP tasks.
• Solid understanding of linguistics, computational linguistics, and ML.
• Experience with LLMs is desirable.

Responsibilities

• Design, develop, and implement state-of-the-art NLP models and algorithms for language tasks.
• Utilize ML and DL frameworks to build NLP solutions.
• Process and analyze large volumes of text: classification, entity recognition, topic modeling.
• Collaborate with software engineers to deploy NLP models into apps.
• Evaluate and fine-tune NLP models for performance and efficiency.
• Stay updated on NLP and computational linguistics advancements.

Skills

Python

NLP libraries (NLTK, SpaCy, Hugging_Fc

Deep learning frameworks (TensorFlow,/

LLMs

Machine learning

Education

Master's or PhD in Computer Science or Linguistics with NLP focus

Tools

NLTK

SpaCy

Hugging Face

TensorFlow

PyTorch

Job description

Placements24 in Mossel Bay is seeking an experienced NLP Specialist to join its AI team. You will design and deploy state-of-the-art NLP models for sentiment analysis, summarization, translation, and chatbots, affecting customer interactions and data insights.

The role requires a strong academic background and practical ML skills, with Python proficiency and experience with libraries like NLTK, SpaCy, and Hugging Face, plus TensorFlow or PyTorch. Collaborative, product-focused environment.