[What you will be working on]

You will be involved in the following to support our full time and part-time course offerings in areas related to Data Analytics with Machine Learning, Data Engineering, Data Management, and other foundational ICT modules.

• Implement and administer module delivery, related activities (including student assessments and assignments) to meet learning outcomes.

• Plan, design and develop module curriculum, learning activities and materials. • Stay current and responsive to changing developments in the profession and educational landscape through active engagement with industry and professional bodies/communities.

• Maintain links with industry to stay current and to promote collaborations. You will have the opportunities to develop and grow your capabilities through industry projects or academic research projects and professional learning communities.

[What we are looking for]

Applicants should have a relevant qualification preferably in the fields of Data Science, Data Engineering, Machine Learning and/or Statistics, with a minimum of 2 years' industry experience. Applicants should be proficient in two or more of the following areas:

• TensorFlow/PyTorch, DeepSpeed/Megatron-LM, and familiar with operating mechanisms of these framework and systems.

• Large language models, using frameworks like Hugging Face and LangChain and other core NLP algorithm model construction and improvement.

• Various optimization algorithms and model architectures, including various classical algorithms and models based on gradients (BERT, GPT-3).

• AWS/Azure cloud services involving development cycle DevOps/MLOps and the Agile approach.