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Lead Data Scientist

IT Alliance Australia
Department:Data Analysis
Type:REMOTE
Region:Australia
Location:Australia
Experience:Mid-Senior level
Estimated Salary:A$100,000 - A$150,000
Skills:
AZURE MACHINE LEARNINGML OPSDATA SCIENCEPYTHONGENERATIVE AINATURAL LANGUAGE PROCESSING
👁️ Views: 11🚀️ Applied: 1
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Job Description

Posted on: March 21, 2025

One of our Federal Government Clients is seeking to engage a Lead Data Scientist - EL1. This is a long-term contractual position.

Please check below all the job details:

Contract Duration: 03 Years (12 months initially + 24 months extension)

Work Location: All States (Remote working option available)

Eligibility: You must need to have Baseline Security Clearance or above.

Tentative Start Date: 21st April 2025

Position Description:

The Chief Information Officer Division (CIOD) provides a range of enabling services and operations delivery to the department and to Australian businesses and are seeking a Data Scientist to:

  • Work with business areas and the project team to deliver data science solutions that meet requirements.
  • Collaborate with other supporting technical teams to deliver within agreed governance and security requirements.
  • Develop, maintain and or contribute to relevant project and design documentation such as detailed designs, technical configuration documents and build guides.

Key duties and responsibilities:

  • Have experience in the use on DevOps and MLOps as they apply to data science activities with Azure Machine Learning Studio and Cognitive Services.
  • Have experience with delivering data science solutions with Microsoft technologies.
  • Be able to apply judgement and critical thinking skills to problem solve.
  • Have demonstrated government sector experience, including working in small project teams.

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. 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.

Desirable Criteria:

  • Azure Data Scientist Certification.

The Next step is easy: If you are interested, you may send an email to Krishna.R@italliance.com.au

Referral incentive program: As always, we have the candidate referral incentive program through which you will get $2000 for each successful referral after the successful selection and joining of the referred candidates.

Originally posted on LinkedIn

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👁️ Views: 11🚀️ Applied: 1
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