Machine Learning Engineer - NLP Focus

Placements24; Richards Bay; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary

Hybrid work model

Professional growth opportunities

Job summary

Placements24 invites applications for a Machine Learning Engineer specializing in NLP, based in Richards Bay. You will develop and deploy NLP models powering intelligent search, sentiment analysis, and chatbots, collaborating with data scientists and product teams.

The role emphasizes production readiness, scalable pipelines, and cutting-edge NLP techniques. A hybrid work setup is available, with opportunities to work on large text datasets and state-of-the-art AI solutions.

Qualifications

• Master's or PhD in Computer Science, Computational Linguistics or related field with NLP focus.
• 3+ years of professional NLP model development and deployment experience.
• Proficiency in Python and NLP libraries (NLTK, SpaCy, Transformers).

Responsibilities

• Design, implement, and optimize NLP models for text classification, NER, topic modeling, and language generation.
• Develop and maintain production-grade NLP pipelines including data preprocessing and deployment.
• Collaborate with data scientists to research state-of-the-art NLP techniques and architectures ( Transformers, BERT, GPT ).
• Build and integrate NLP services into existing applications and platforms.
• Monitor model performance in production and implement improvements.
• Contribute to ML infrastructure and best practices within the team.

Skills

Python

NLP with Transformers

NLTK / SpaCy

PyTorch

TensorFlow

Cloud deployment

Education

Master's or PhD in CS/Computational Linguistics

Tools

Hugging Face Transformers

Docker

Job description

About the Role

Our client seeks a talented Machine Learning Engineer with a specialization in Natural Language Processing (NLP) to join their advanced analytics team in Richards Bay . You will be instrumental in developing and deploying sophisticated NLP models to extract insights from large volumes of text data, powering features like intelligent search, sentiment analysis, and chatbots. This role requires a strong foundation in ML principles, NLP techniques, and software engineering best practices. You will collaborate with data scientists and product teams to embed cutting-edge NLP capabilities into various applications, driving innovation and enhancing user experiences. This is an exciting opportunity to work with complex data and develop state-of-the-art AI solutions.

Key Responsibilities

• Design, implement, and optimize NLP models for tasks such as text classification, named entity recognition, topic modeling, and language generation.
• Develop and maintain production-grade NLP pipelines, including data preprocessing, feature engineering, and model deployment.
• Collaborate with data scientists to research and experiment with state-of-the-art NLP techniques and architectures (e.g., Transformers, BERT, GPT).
• Build and integrate NLP services into existing applications and platforms.
• Monitor model performance in production and implement improvements as needed.
• Contribute to the overall machine learning infrastructure and best practices within the team.

Requirements

• Master's or Ph.D. degree in Computer Science, Computational Linguistics, or a related field with an NLP focus.
• 3+ years of professional experience in developing and deploying NLP models.
• Strong programming skills in Python and proficiency with NLP libraries (e.g., NLTK, SpaCy, Hugging Face Transformers).
• Experience with deep learning frameworks like TensorFlow or PyTorch.
• Solid understanding of linguistic principles and modern NLP techniques.
• Experience with cloud platforms and deploying ML models in a production environment is advantageous for this role in Richards Bay .

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunities for professional growth and development in the field of NLP.
• Work on challenging and impactful NLP projects with real-world applications.
• Collaborative and innovative team environment.
• Hybrid work model providing flexibility for employees in Richards Bay .
• Access to advanced computing resources and datasets.