Data Scientist

IT Alliance Australia; Australia; Hybrid; AUD 90,000 - 150,000; Full time

Job summary

An innovative firm is seeking a Lead Data Scientist to join a federal government project. This role involves leveraging Azure Machine Learning and MLOps to create impactful data science solutions. The ideal candidate will have a strong background in developing and deploying ML models, particularly in Generative AI and Natural Language Processing. You will be part of a dynamic team, applying critical thinking and problem-solving skills to drive project success. If you are ready to take on this exciting challenge and make a difference in the government sector, this opportunity is for you.

Qualifications

• Minimum 2 years of experience in Azure Machine Learning and ML Ops.
• Experience with Generative AI and Natural Language Processing applications.

Responsibilities

• Deliver data science solutions using Microsoft technologies.
• Develop and deploy ML models as online endpoints and APIs.

Skills

Azure Machine Learning

MLOps

DevOps

Critical Thinking

Generative AI

Natural Language Processing

Python Development

Tools

Azure Machine Learning Studio

Cognitive Services

Azure OpenAI Service

Job description

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Direct message the job poster from IT Alliance Australia.

One of our federal government clients is seeking to engage a Lead Data Scientist.

Location of work: Canberra/ Offsite

Length of contract: 12 months

Contract extensions: 24 months extension (two extensions of twelve months each)

Security clearance: Australian Citizen (client intends to process Baseline security clearance after onboarding)

Key Duties and Responsibilities

Our ideal candidate will:

• Have experience in the use of 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 judgment and critical thinking skills to problem-solve.
• Have demonstrated government sector experience, including working in small project teams.

Minimum Requirements

The buyer has specified that each candidate must provide a one-page pitch to address all criteria specified. This is equal to 5000 characters.

1. 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.
2. Practical experience in ML Ops in managing the lifecycle of ML models. Experience with the following model types is highly desirable:
   • Classification models
   • Regression/forecasting models
   • Clustering models
   • Computer vision
   • Generative AI / Natural Language processing - LLM/SLM Models.
3. 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.
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.
5. Experience in LLM prompt engineering and implementation of Retrieval Augmented Generation (RAG) pattern and factual grounding techniques.
6. Experience in developing and deploying Python web applications using Azure Cloud.

Note: If you would be interested in applying, kindly share your updated CV and one-page cover letter on [e-mail].

Seniority Level

Mid-Senior level

Employment Type

Contract

Job Function

Information Technology

Industries

Government Administration and Staffing and Recruiting