QUALIFICATIONS:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven experience in developing and deploying large language models.
• Strong programming skills in Python and familiarity with deep learning frameworks such as TensorFlow or PyTorch.
• In-depth knowledge of NLP techniques, including tokenization, embeddings, transformers, and attention mechanisms.
• Experience with large-scale data processing and distributed computing.
• Strong problem-solving skills and the ability to work independently and as part of a team.
• Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders.

PREFERRED QUALIFICATIONS:

• Ph.D. in a related field.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Contributions to open-source NLP projects or publications in top-tier conferences/journals.

ABOUT THE ROLE

As a Large Language Model Developer, you will be responsible for designing, developing, and optimising large-scale language models (LLM). You will have a variety of stakeholders, in the enterprise and engineering teams at the NCC. You will work closely with our research and engineering teams to create state-of-the-art natural language processing (NLP) solutions that drive our products and services.

KEY RESPONSIBILITIES:

• Optimise and fine-tune models for performance, accuracy, and efficiency.
• Collaborate with cross-functional teams to integrate language models into various applications.
• Conduct research to stay updated with the latest advancements in NLP and machine learning.
• Implement and maintain scalable and robust NLP pipelines.
• Develop multi-agent, multi-modal systems interpreting images, video, robotic motion, and sensor outputs.
• Analyse and interpret model performance, providing insights and recommendations for improvements.
• Document model development processes and results.