About the Role
Our client is a globally recognized innovator in AI-driven communication solutions, and they are expanding their pioneering team with a Remote Natural Language Processing (NLP) Engineer. This is a fully remote position, allowing you to work from anywhere within South Africa. You will be at the forefront of developing sophisticated NLP models and systems that enable machines to understand, interpret, and generate human language. Your work will directly impact how users interact with our client's cutting-edge products, making communication more intuitive and efficient. This role is ideal for a motivated individual who thrives in a remote-first environment and is passionate about shaping the future of language technology.
Key Responsibilities
- Design, develop, and deploy advanced NLP models for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and summarization.
- Implement and fine-tune state-of-the-art NLP architectures, including transformers (e.g., BERT, GPT).
- Process and analyze large volumes of textual data, performing feature engineering and data cleaning.
- Collaborate with product managers and software engineers to integrate NLP capabilities into scalable applications.
- Conduct research into new NLP techniques and algorithms to enhance model performance and explore new possibilities.
- Evaluate and benchmark NLP models, ensuring accuracy, efficiency, and robustness.
- Write clean, well-documented, and maintainable code.
- Participate in code reviews and contribute to the team's collective knowledge base.
Requirements
- Master's or Ph.D. in Computer Science, Computational Linguistics, or a related field with a focus on NLP.
- 3+ years of professional experience in developing and deploying NLP models.
- Proficiency in Python and common NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
- Strong understanding of machine learning fundamentals and deep learning techniques relevant to NLP.
- Experience with deep learning frameworks like TensorFlow or PyTorch.
- Familiarity with cloud platforms (AWS, Azure, GCP) for model training and deployment.
- Excellent analytical and problem-solving skills.
- Ability to work independently and effectively in a remote team setting.
- Strong communication skills, with the ability to articulate technical concepts clearly.
Benefits
- Competitive salary and performance bonuses.
- Flexible working hours and a fully remote work arrangement.
- Contribution to medical aid and provident fund.
- Professional development opportunities, including online courses and virtual conferences.
- Home office setup allowance.
- A chance to work on impactful projects with a globally distributed team.
- Company-provided laptop and essential software licenses.