
Advanced Machine Learning Specialist
1 week ago
Develop advanced AI models using Google Cloud technologies in a dynamic media environment.
The successful candidate will design, build, and deploy machine learning models for computer vision, large language models, and churn prediction systems.
- Design, build, and deploy machine learning models for computer vision, large language models, and churn prediction systems.
- Create intuitive user interfaces for AI/ML tools and dashboards to enable business user interaction.
- Develop robust data pipelines and extraction processes to support model training and inference.
- Build automated workflows and systems to streamline AI/ML operations and model deployment.
- Collaborate closely with stakeholders across editorial, marketing, product, and technology teams.
- Stay current with AI/ML developments and contribute to the team's technical strategy.
The ideal candidate will have:
- A recent graduate (or final year student) in a quantitative discipline such as mathematics, statistics, data analytics or science, engineering, artificial intelligence or machine learning, or computer science.
- Strong interest in AI/ML and their real-world applications.
- Intermediate Python programming skills.
- Excellent analytical and problem-solving abilities.
- Clear communication skills, including explaining technical concepts to non-technical audiences.
- Collaborative mindset with a team-first approach.
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Understanding of computer vision or natural language processing (NLP) concepts.
The company offers:
- Access to publications and products from across the News Corp family.
- Health and wellbeing support including onsite gyms at Adelaide, Brisbane, and Sydney offices.
- Various leave options: parental leave, birthday leave, volunteer leave, career break, compassionate leave.
- Development opportunities including diversity and inclusion education series and recognition programs.
- Financial wellbeing support.
- Exclusive perks and discounts across a range of products and services.
- Community engagement and giving back initiatives.
- Workplace inclusion with employee-resource groups, multi-faith quiet rooms, and parents' rooms.
If accommodations or adjustments are required during the recruitment process, applicants are encouraged to communicate their needs.
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