Lead Data Scientist, Randstad

Lead Data Scientist

Randstad

Location:

Australia, Canberra

Category:

IT - Software Development

Contract Type:

Not provided

Salary:

Not provided

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Job Description:

Randstad Digital under the umbrella of Randstad, the world's largest talent company and a partner of choice to clients. Our 46,000 employees around the world make a positive impact on society by helping people realize their true potential throughout their working life. In 2022, in our 39 markets, we helped more than 2 million people find a job that feels good and advised over 230,000 clients on their talent needs.

Requirements:

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
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
Australian Citizens ONLY
Ability to obtain Baseline clearance

Nice to have:

Experience with Classification models
Regression/forecasting models
Clustering models
Computer vision
Generative AI/Natural Language processing - LLM/SLM Models

What we offer:

12 month contract with 2 x 12 months extension
Randstad Digital actively encourages applications from Aboriginal and Torres Strait Islander people
Passionate about equal employment opportunities and embracing diversity

Additional Information:

Job Posted:

April 10, 2025

Expiration:

April 20, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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