Machine Learning Engineer - NLP Focus

Placements24; Bloemfontein; On-site; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Health insurance and dental and vision

Professional development including AI/

Conferences and courses

Dynamic, creative work environment

Access to advanced NLP tools

Job summary

Placements24 in Bloemfontein seeks a specialized Machine Learning Engineer focused on NLP to design, build, and optimize NLP models and pipelines for our platform. You will work on text analysis, sentiment detection, translation, and conversational AI to enhance user experiences.

You will collaborate with a cross-functional product team, push the boundaries of language technology, and contribute to production deployments.

Qualifications

• 3+ years of experience in machine learning with a focus on NLP.
• Strong proficiency in Python and NLP libraries (e.g., NLTK, spaCy, Transformers).
• Experience with deep learning frameworks (TensorFlow, PyTorch) for NLP tasks.
• Understanding of language models, embeddings, and various NLP architectures.

Responsibilities

• Develop and fine-tune state-of-the-art NLP models for text classification, entity recognition, sentiment analysis, and summarization.
• Build and maintain scalable data processing pipelines for large volumes of text data.
• Implement and deploy NLP models into production, ensuring reliability and performance.
• Collaborate with software engineers to integrate NLP capabilities into web and mobile applications.
• Conduct research and experiments to explore new NLP techniques and improve existing models.
• Evaluate and benchmark NLP model performance using relevant metrics and datasets.

Skills

Python programming

NLP libraries

Transformers

TensorFlow/PyTorch

Data manipulation

Education

Bachelor's or Master's in CS/Linguistics or related field

Tools

NLTK

spaCy

Hugging Face Transformers

TensorFlow

PyTorch

Job description

About the Role

Our client is seeking a specialized Machine Learning Engineer with a strong focus on Natural Language Processing (NLP) to join their innovative product development team in Bloemfontein . You will be responsible for designing, building, and optimizing NLP models and pipelines that enable intelligent language understanding and generation capabilities for their platform. This role offers the chance to work on challenging projects involving text analysis, sentiment detection, machine translation, and conversational AI, directly contributing to the enhancement of user experience and the creation of intelligent features. You will collaborate with a team dedicated to advancing AI in practical applications, pushing the boundaries of what's possible with language technology.

Key Responsibilities

• Develop and fine-tune state-of-the-art NLP models for tasks such as text classification, entity recognition, sentiment analysis, and summarization.
• Build and maintain scalable data processing pipelines for large volumes of text data.
• Implement and deploy NLP models into production, ensuring reliability and performance.
• Collaborate with software engineers to integrate NLP capabilities into web and mobile applications.
• Conduct research and experiments to explore new NLP techniques and improve existing models.
• Evaluate and benchmark NLP model performance using relevant metrics and datasets.

Requirements

• Bachelor's or Master's degree in Computer Science, Linguistics, or a related field.
• 3+ years of experience in machine learning, with a significant portion focused on NLP.
• Proficiency in Python and popular NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
• Experience with deep learning frameworks (TensorFlow, PyTorch) for NLP tasks.
• Understanding of language models, embeddings, and various NLP architectures.
• Strong programming skills and experience with data manipulation and analysis.

Benefits

• Competitive salary with opportunities for performance-based increments.
• Comprehensive health, dental, and vision insurance.
• Access to advanced NLP research and development tools.
• Support for professional development, including courses and conferences.
• A dynamic and creative work environment with a focus on cutting-edge technology.