Position: Lead Data Scientist
Location: Canberra
Duration: 12 Months with extensions
Job Description: Essential criteria: Minimum 2 years design and working knowledge in Azure Machine Learning. Deep understanding of ML models, model training, validation, and implementation of such models for scoring/inferencing. Practical experience in ML Ops in managing the lifecycle of ML models. Experience with the following model types highly desirable: Classification models Regression/forecasting models Clustering models Computer vision Generative AI / Natural Language Processing - LLM/SLM Models Design experience in Generative AI solutions using open-source LLM models, particularly with Azure or OpenAI Service. Design experience in Natural Language Processing (NLP) applications using Large Language models such as Azure Open AI - GPT-4. Experience in development and deployment of ML Models as online endpoints, inferencing APIs using AML SDK/Notebook, data stores, and data assets to work with Azure blob storage and data lake. Experience in LLM prompt engineering and implementation of Retrieval Augmented Generation (RAG) pattern and factual grounding techniques. Experience in developing and deploying Python web applications using Azure Cloud. Desirable criteria: Azure Data Scientist Certification.
Note: Must be an Australian Citizen. Must be able to obtain Baseline clearance.
Interested candidates can share their updated resume at or can reach me at +61 291 575 539 .
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