RFQ: Lead Data Scientist
AUSTRALIAN CITIZENS ONLY!
No Permanent Residents. No Work Visas. Must be able to obtain and maintain Baseline Security Clearance.
RFQ Details:
* ID: LH-02162
* Closing Date: Friday, 28 March 2025 11:59pm, Canberra time
Client Information:
* Department: Department of Industry, Science and Resources
Contract Information:
* Start Date: Monday, 21 April 2025
* Initial Duration: 12 months
* Extension Term: 12 months
* Number of Extensions: 2
* Maximum Number of Candidates per Seller: 2
Role Information:
* Experience Level: Lead - EL1 equivalent
* Location of Work: ACT
* Working Arrangements: Onsite
o Role is Canberra-based; flexibility options may be considered for the right candidate.
o Remote working arrangements may be approved on a case-by-case basis.
o Candidates should indicate their desired work location if outside ACT/Canberra.
* Maximum Hours: 40 hours per week
* Security Clearance: Must be able to obtain and maintain Baseline clearance (sponsorship available, must be obtained within 3 months of commencement).
Job Details:
Position: Lead Data Scientist
Department: Chief Information Officer Division (CIOD), Department of Industry, Science and Resources
Key Duties and Responsibilities:
* Work with business areas and project teams to deliver data science solutions.
* Collaborate with supporting technical teams to ensure governance and security compliance.
* Develop and maintain project documentation, including detailed designs, technical configurations, and build guides.
Our ideal candidate will:
* Have experience in DevOps and MLOps as applied to data science, particularly using Azure Machine Learning Studio and Cognitive Services.
* Be skilled in delivering data science solutions with Microsoft technologies.
* Apply judgment and critical thinking to solve complex problems.
* Have demonstrated experience working in government sector projects and small teams.
Criteria:
The buyer has specified that each candidate must provide a one-page pitch to address all criteria specified. This is equal to 5000 characters.
Essential Criteria:
* Azure ML Expertise: Minimum 2 years of design and working knowledge in Azure Machine Learning, including ML model training, validation, and implementation.
* MLOps Experience: Practical experience managing ML model lifecycles, including classification, regression, clustering, computer vision, and Generative AI/NLP models.
* Generative AI & NLP: Hands-on experience designing Generative AI solutions using open-source LLMs, particularly with Azure or OpenAI Service.
* Model Deployment: Experience developing and deploying ML models as online endpoints, inferencing APIs, and integrating data assets with Azure Blob Storage and Data Lake.
* Prompt Engineering: Experience in LLM prompt engineering, Retrieval Augmented Generation (RAG) patterns, and factual grounding techniques.
* Cloud-Based Development: Proven experience developing and deploying Python web applications using Azure Cloud.
Desirable Criteria:
* Azure Data Scientist Certification
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