AI/ML Engineer - Natural Language Processing

Placements24; Mbombela (Nelspruit); On-site; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary

Professional development

Nelspruit NLP projects

Collaborative environment

Job summary

Placements24 is seeking an accomplished AI/ML Engineer specializing in NLP to join its Nelspruit technology team. You will develop and deploy NLP models for text classification, sentiment analysis, translation, and conversational AI, enabling machines to understand and generate human language.

This role emphasizes practical experience in building and deploying NLP systems. You will collaborate with engineers to scale language models, preprocess data, and optimize pipelines for performance.

Qualifications

• Master's or Ph.D. in Computer Science, Computational Linguistics, or a related field with a focus on NLP.
• 3+ years of practical experience in developing and deploying NLP models.
• Proficiency in Python and NLP libraries such as NLTK, spaCy, Transformers (Hugging Face), and deep learning frameworks.
• Strong understanding of language modeling, sequence-to-sequence models, and transformer architectures.

Responsibilities

• Develop, train, and fine-tune NLP models using state-of-the-art techniques and frameworks.
• Implement solutions for text mining, information extraction, sentiment analysis, and topic modeling.
• Work with large text datasets, preprocess data, and manage language model training pipelines.
• Integrate NLP models into applications and services, ensuring scalability and performance.
• Collaborate with product managers and engineers to define NLP requirements and deliverables.
• Stay current with NLP research and emerging trends in the field.

Skills

NLP expertise

Python

Deep learning

Education

Master's or Ph.D. in CS/Computational Linguistics

Tools

NLTK

spaCy

Transformers (Hugging Face)

Job description

About the Role

Our client is seeking an accomplished AI/ML Engineer specializing in Natural Language Processing (NLP) to join their advanced technology team in Nelspruit . This role involves developing and deploying sophisticated NLP models and solutions that enable machines to understand, interpret, and generate human language. You will work on exciting projects such as text classification, sentiment analysis, machine translation, and conversational AI, contributing to the creation of intelligent communication systems. The ideal candidate has a strong foundation in NLP techniques, deep learning, and practical experience in building and deploying these models. This is a key role in advancing our client's capabilities in language-based AI.

Key Responsibilities

• Develop, train, and fine-tune NLP models using state-of-the-art techniques and frameworks.
• Implement solutions for text mining, information extraction, sentiment analysis, and topic modeling.
• Work with large text datasets, preprocess data, and manage language model training pipelines.
• Integrate NLP models into applications and services, ensuring scalability and performance.
• Collaborate with product managers and engineers to define NLP requirements and deliverables.
• Stay current with NLP research and emerging trends in the field.

Requirements

• Master's or Ph.D. in Computer Science, Computational Linguistics, or a related field with a focus on NLP.
• 3+ years of practical experience in developing and deploying NLP models.
• Proficiency in Python and NLP libraries such as NLTK, spaCy, Transformers (Hugging Face), and deep learning frameworks.
• Strong understanding of language modeling, sequence-to-sequence models, and transformer architectures.
• Experience with data preprocessing, feature engineering for text data, and evaluation metrics.
• Excellent problem-solving abilities and effective communication skills.

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunities for professional development, including specialized training and conference attendance.
• Work on challenging and impactful NLP projects in Nelspruit .
• A collaborative and innovative work environment.
• Potential for career growth in the rapidly evolving field of AI.