Natural Language Processing (NLP) Specialist

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

About the Role

Our client is seeking a talented Natural Language Processing (NLP) Specialist to join their dynamic AI team in Mossel Bay . This role is critical for developing and enhancing our intelligent systems that understand, interpret, and generate human language. You will work on challenging projects involving sentiment analysis, text summarization, machine translation, and chatbot development, contributing directly to improved customer interactions and data analysis capabilities. This is an excellent opportunity to apply advanced NLP techniques in a practical, product-focused environment, collaborating with a passionate team dedicated to advancing conversational AI and language understanding.

Key Responsibilities

• Design, develop, and implement state-of-the-art NLP models and algorithms for various language processing tasks.
• Utilize machine learning techniques and deep learning frameworks (e.g., BERT, GPT, Transformers) to build NLP solutions.
• Process and analyze large volumes of text data, performing tasks such as text classification, entity recognition, and topic modeling.
• Collaborate with software engineers to integrate NLP models into applications and production systems.
• Evaluate and fine-tune NLP models for improved performance, accuracy, and efficiency.
• Research and stay updated on the latest advancements in NLP and computational linguistics.

Requirements

• Master's or PhD in Computer Science, Linguistics, or a related field with a focus on NLP.
• Minimum of 3 years of professional experience in developing and deploying NLP solutions.
• Strong programming skills in Python and familiarity with NLP libraries (NLTK, SpaCy, Hugging Face).
• Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch for NLP tasks.
• Solid understanding of linguistic principles, computational linguistics , and machine learning.
• Experience with large language models (LLMs) and their applications is highly desirable.

Benefits

• Competitive salary and performance-based bonuses.
• Opportunities for professional growth and continuous learning.
• Comprehensive health, dental, and vision insurance.
• Flexible working hours and remote work options to promote work-life balance.
• Engaging work environment with a focus on innovation and collaboration.