• 12 + 12 + 12 month contract - Baseline clearance
• Azure Machine Learning Studio and Cognitive Services - ML Ops
• Civic, ACT - Flexible work arrangements

Our client, a large Federal government department based in Civic, ACT, requires an experienced lead Azure data scientist for a 12 + 12 + 12 month contract.

Duties

• Deliver data science solutions that meet requirements.
• Develop, maintain and contribute to relevant project and design documentation- detailed designs, technical configuration documents and build guides.
• Use DevOps and MLOps as they apply to data science activities with Azure Machine Learning Studio and Cognitive Services.
• Delivering data science solutions with Microsoft technologies,

Selection 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. o Classification models o Regression/forecasting models o Clustering models o Computer vision o 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) application 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 application using Azure Cloud.

To apply for this contract opportunity, please click the Quick Apply button to forward your CV to Andy at the Recruitment Hive.

Please note our internal Job ID is AE and this RFQ closes on the 2025.