Develop and deploy machine learning models that will have a profound impact on our product(s) and end users
Analyze large datasets to identify trends and patterns
Work across a range of use cases to improve the quality of LLM output chains
Plan and implement MLOps, including benchmark monitoring for quality assurance and compliance
Provide strategic input for long-term data initiatives, including data governance and ethical AI practices
Work closely with engineers and stakeholders to implement innovative solutions
Mentor junior data scientists
Requirements & Skills:
Relevant tertiary qualification, Doctorate or Master’s in Data Science, Mathematics, Statistics, Computer Science, or related field, AND 4+ years industry working experience
Strong demonstrated history of data science experience and can concisely share examples of successful past projects
Ideally, you bring commercial experience with NPL techniques (supervised NLP learning with LSTM/CNN/Transformers and/or topic modelling), and;
Commercial experience with GPT (langchain, llama index, RAG, multi-agent framework).
Advanced SQL and 2+ years’ programming experience in Python and Natural Language Processing
Excellent communicator with stakeholders at all levels
Empathetic, collaborative, open to feedback
Able to read and keep abreast of LLM-related research
Able to thrive in an agile environment
A Master’s/Doctorate in a relevant discipline is a plus
Able to attend our beautiful Sydney CBD office 2 days a week
