Machine Learning Engineer - NLP Specialist

Placements24; Kempton Park; Vor Ort; ZAR 900.000 - 1.600.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Medical coverage

Generous annual leave

Professional development

Advanced computing resources

Stock options

Retirement fund

Zusammenfassung

Placements24 is seeking a Machine Learning Engineer specialized in NLP to join our Gauteng team. You will develop and deploy NLP models powering next-generation products and services, handling large text datasets and contributing to production-ready pipelines.

The ideal candidate has deep ML knowledge with NLP expertise, and will collaborate with engineers and data scientists in a fast-paced environment to advance conversational AI and text analytics.

Qualifikationen

• Master's or Ph.D. in CS, linguistics, AI or related field.
• 3+ years of professional ML experience focusing on NLP.
• Proficiency in Python and NLP libraries (spaCy, NLTK, HF Transformers).
• Hands-on with PyTorch or TensorFlow and transformer architectures.

Aufgaben

• Develop, train, and deploy state-of-the-art NLP models for classification, NER, translation and generation.
• Fine-tune large language models for business applications.
• Build robust data pipelines for processing textual data.
• Collaborate with software engineers and data scientists to productionize models.
• Conduct experiments to evaluate model performance and iterate.

Kenntnisse

Python

NLP libraries

PyTorch

TensorFlow

Transformers

Data preprocessing

Feature engineering

Evaluation metrics

Cloud platforms

Ausbildung

Master's degree in CS/AI/ Linguistics

PhD in CS/AI/ Linguistics

Tools

spaCy

NLTK

Hugging Face Transformers

Jobbeschreibung

About the Role

Our client is seeking a talented Machine Learning Engineer with a specialization in Natural Language Processing (NLP) to join their innovative team in Tembisa, Gauteng. This role is critical for developing and deploying advanced NLP models that power our client's next-generation products and services. You will work on challenging problems, leveraging vast datasets to build intelligent systems that understand and generate human language. This is a unique opportunity to work at the forefront of AI, contributing to projects that have a real-world impact. We are looking for a passionate individual eager to contribute their expertise in a fast-paced, collaborative environment. The ideal candidate will have a strong foundation in machine learning and a deep understanding of NLP techniques and algorithms. Join us and help shape the future of conversational AI and text analytics.

Key Responsibilities

• Develop, train, and deploy state-of-the-art NLP models for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and text generation.
• Implement and fine-tune large language models (LLMs) for specific business applications.
• Design and build robust data pipelines for processing and augmenting textual data.
• Collaborate with software engineers and data scientists to integrate NLP models into production systems.
• Conduct experiments to evaluate model performance and identify areas for improvement.
• Stay current with the latest research and advancements in NLP and machine learning.
• Contribute to the documentation of models, algorithms, and processes.
• Participate in code reviews and provide constructive feedback to peers.

Requirements

• Master's or Ph.D. degree in Computer Science, Linguistics, AI, or a related field.
• 3+ years of professional experience in Machine Learning, with a significant focus on NLP.
• Proficiency in Python and relevant NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
• Hands-on experience with deep learning frameworks like PyTorch or TensorFlow.
• Strong understanding of transformer architectures, sequence-to-sequence models, and embedding techniques.
• Experience with data preprocessing, feature engineering, and evaluation metrics for NLP tasks.
• Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) is a plus.
• Excellent analytical and problem-solving abilities.
• Strong communication skills and the ability to work effectively in a team.

Benefits

• Competitive salary and performance-based incentives.
• Comprehensive medical, dental, and vision coverage.
• Generous annual leave allowance.
• Opportunities for continuous learning and professional development.
• Access to advanced computing resources.
• A vibrant and supportive work culture in Tembisa, Gauteng.
• Retirement fund contributions.
• Stock options for eligible employees.