Senior AI Engineer - NLP Specialist

About the Role

Our client is seeking a highly skilled Senior AI Engineer with a specialization in Natural Language Processing (NLP) to join their fully remote team. In this pivotal role, you will lead the design, development, and deployment of advanced NLP models and applications that power intelligent communication and information extraction systems. Working from anywhere within South Africa , you will contribute to projects that redefine how users interact with technology and access information.

This is an exciting opportunity to work with state-of-the-art AI technologies, collaborate with a world-class team, and make a significant impact in a rapidly evolving field.

• Develop and implement cutting-edge NLP models for tasks such as text classification, sentiment analysis, named entity recognition, and machine translation.
• Design and build robust, scalable NLP pipelines and applications.
• Collaborate with product managers and other engineers to define NLP features and requirements.
• Optimize NLP models for performance, accuracy, and efficiency in production environments.
• Stay abreast of the latest research and advancements in NLP and machine learning.
• Mentor junior engineers and contribute to the team's technical leadership.

• Master's or Ph.D. in Computer Science, Computational Linguistics, or a related field.
• 5+ years of professional experience in AI/ML engineering, with a strong focus on NLP.
• Deep understanding of NLP techniques, algorithms, and frameworks (e.g., Transformers, BERT, spaCy, NLTK).
• Proficiency in Python and experience with deep learning frameworks (Tensor Flow, PyTorch).
• Experience deploying NLP models into production systems.
• Excellent problem-solving, communication, and collaboration skills.

• Highly competitive salary and performance-based bonuses.
• Fully remote work flexibility, enabling work-life balance.
• Comprehensive health, dental, and vision insurance.
• Generous budget for professional development, conferences, and learning resources.
• Opportunity to work on challenging and impactful NLP projects.
• A culture that values innovation, collaboration, and continuous learning.