About the Role
Our client is seeking a talented Machine Learning Engineer with a focus on Natural Language Processing (NLP) to join their innovative technology division in Klerksdorp . This role is critical for developing and deploying sophisticated NLP models that enhance our product capabilities, analyze textual data, and drive intelligent automation. You will work on challenging problems, from sentiment analysis and text generation to information extraction and conversational AI. This hybrid position allows you to contribute your expertise in a dynamic environment, collaborating with a team of dedicated professionals while enjoying the flexibility of both office-based teamwork and remote autonomy, fostering a culture of continuous improvement and cutting-edge AI development.
Key Responsibilities
- Design, build, and deploy production-ready NLP models for various applications.
- Develop and maintain data processing pipelines for large volumes of text data.
- Experiment with different NLP techniques, including transformers, LSTMs, and attention mechanisms.
- Collaborate with product managers and engineers to integrate NLP solutions into user-facing features.
- Evaluate model performance, identify areas for improvement, and implement optimizations.
Requirements
- Master's or Ph.D. in Computer Science, Computational Linguistics, or a related field with an NLP focus.
- 3+ years of experience building and deploying NLP models in a production environment.
- Strong programming skills in Python and experience with NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
- Deep understanding of modern NLP techniques, including language models and embeddings.
- Experience with cloud platforms and MLOps principles is highly desirable.
Benefits
- Competitive salary and performance bonuses.
- Comprehensive health, dental, and vision insurance plans.
- Opportunities for professional development and attending AI/NLP conferences.
- Hybrid work model supporting work-life balance in Klerksdorp .
- A collaborative and forward-thinking team dedicated to advancing NLP technologies.
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