M
Data Scientist (GenAI / Machine Learning)
Sydney, New South Wales, Australia
Temporary
Posted 5 days ago
Not Applicable
A$126,065.00/yr - A$142,171.00/yr
On-site
AIMLData ScienceEngineering and Information TechnologyStaffing and Recruiting
Job Description
- Build real-world GenAI & LLM solutions at scale
- Own end-to-end delivery in a high-impact role
This not-for-profit organisation is a well-established entity in the technology space, known for its commitment to advancing knowledge and innovation. As a medium-sized organisation, it offers a collaborative and forward-thinking environment that values expertise and practical solutions.
Job Description
- Develop and implement machine learning models to solve real-world challenges.
- Leverage Generative AI to drive innovation in data analysis and predictive modelling.
- Collaborate with cross-functional teams to identify and address data-related challenges.
- Conduct data preprocessing, cleaning, and transformation to ensure high-quality inputs.
- Present insights and findings to stakeholders in a clear and actionable manner.
- Stay up-to-date with the latest advancements in machine learning and AI technologies.
- Contribute to the development of scalable data pipelines and solutions.
- Ensure data security and compliance with organisational policies.
A successful Data Scientist (GenAI / Machine Learning) should have:
- Proven experience delivering production-grade ML / AI solutions
- Strong skills in Python and SQL
- Commercial experience of working with Snowflake
- Hands-on experience with LLMs / Generative AI
- Exposure to MLOps, CI/CD, and ML pipelines
- Experience with cloud platforms (Azure preferred, AWS/GCP also considered)
- Ability to work autonomously and communicate clearly with stakeholders
- Competitive salary package ranging from $126,065 to $142,171 AUD.
- 17% superannuation contribution.
- Opportunity to work on innovative projects with real-world impact.
- A supportive and collaborative work environment in Sydney.
- Fixed-term contract with the chance to make a meaningful contribution to the not-for-profit sector.
Contact: Par Toor
Quote job ref: JN-052026-7015820
Source: LinkedIn
47 applicants
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