About the Role
Our client, a frontrunner in the AI & Emerging Technologies domain, is actively seeking a talented Lead NLP Engineer to spearhead their initiatives in George, Western Cape . This pivotal role focuses on the development and deployment of advanced Natural Language Processing models, with a strong emphasis on generative AI applications. You will lead a dedicated team, driving innovation and shaping the future of language-based AI solutions for our client. This is an exceptional chance to influence the direction of cutting-edge technology in a collaborative and supportive setting within the scenic locale of George . The position requires a commitment to on-site work, fostering close team collaboration and leveraging the resources available at our client's facility. We are looking for a leader who can inspire and guide their team to achieve groundbreaking results in the fast-paced field of AI.
Key Responsibilities
- Lead the design, development, and implementation of state-of-the‑art Natural Language Processing models, including large language models (LLMs) and generative AI architectures.
- Manage and mentor a team of NLP engineers and researchers, fostering a high‑performance and collaborative work environment.
- Define the technical roadmap for NLP projects, ensuring alignment with business objectives and technological advancements.
- Oversee the entire model lifecycle, from data collection and preprocessing to training, evaluation, deployment, and monitoring.
- Conduct rigorous experimentation and analysis to improve model performance, accuracy, and efficiency.
- Collaborate with product managers, data scientists, and other stakeholders to translate business requirements into technical solutions.
- Stay current with the latest research and industry trends in NLP, generative AI, and related fields.
- Contribute to the company's intellectual property through innovation and potential patent filings.
- Ensure the development and deployment of NLP solutions adhere to ethical guidelines and responsible AI principles.
- Champion best practices in software engineering, MLOps, and data management for NLP systems.
Requirements
- Master's or Ph.D. degree in Computer Science, Computational Linguistics, Artificial Intelligence, or a related field.
- Extensive experience (5+ years) in Natural Language Processing, with a significant focus on building and deploying generative AI models.
- Proven leadership experience, managing and mentoring technical teams.
- Deep understanding of transformer architectures, LLMs, and related technologies.
- Proficiency in Python and common NLP libraries (e.g., Hugging Face Transformers, NLTK, spaCy).
- Experience with deep learning frameworks such as PyTorch or TensorFlow.
- Strong grasp of machine learning principles, statistical modeling, and data analysis.
- Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Excellent communication, interpersonal, and stakeholder management skills.
- Demonstrated ability to deliver complex AI projects from conception to production.
Benefits
- Highly competitive salary package and performance bonuses.
- Comprehensive medical, dental, and vision benefits.
- Retirement savings plan with company matching.
- Generous annual leave and public holiday allocation.
- Opportunities for continuous learning and professional growth, including access to specialized training and conferences.
- A dynamic and innovative work culture in George .
- State-of-the-art technology infrastructure.
- Company-sponsored social events and team-building activities.
- Potential for career advancement within a growing organization.
- Exposure to groundbreaking AI technologies and projects.