-
View all jobs
Job Description
Join a leading data-driven enterprise working at the forefront of retail innovation. As a Machine Learning Engineer, you’ll design, scale, and deploy production-grade ML solutions that solve complex business challenges and deliver tangible impact across high-traffic platforms.
This is an opportunity to work in a modern, cloud-native environment alongside top-tier Data Scientists and Engineers, using the latest in GCP technologies and orchestration tools.
What You’ll Do
Join a leading data-driven enterprise working at the forefront of retail innovation. As a Machine Learning Engineer, you’ll design, scale, and deploy production-grade ML solutions that solve complex business challenges and deliver tangible impact across high-traffic platforms.
This is an opportunity to work in a modern, cloud-native environment alongside top-tier Data Scientists and Engineers, using the latest in GCP technologies and orchestration tools.
What You’ll Do
- Build, deploy, and maintain scalable ML pipelines using Google Cloud technologies.
- Develop robust data models, APIs, and predictive solutions to solve business-critical problems.
- Collaborate closely with cross-functional teams in an agile setting to deliver high-impact data products.
- Champion engineering best practices, testing frameworks, and architectural reviews to ensure quality and reliability.
- Drive innovation through continuous learning and the adoption of new technologies and frameworks.
- Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
- 3+ years of experience in commercial software development.
- 2+ years of hands-on experience with Python, SQL, and Linux environments.
- Experience with ML orchestration tools such as Vertex AI Pipelines, Kubeflow, Argo, or Airflow.
- Proficiency with Docker or Kubernetes for containerized deployments.
- Familiarity with modern ML methods (e.g., GNNs, LLMs) and MLOps best practices.
- Exposure to microservices architecture and tools like dbt core is a plus.
- Be part of high-impact projects that blend data science and software engineering.
- Work in a flexible, inclusive, and innovation-focused environment.
- Access cutting-edge tools and cloud technologies.
- Grow your career with continuous learning and hands-on experience in solving real-world problems.
Key Skills
Ranked by relevance
cloud
microservices
kubernetes
kubeflow
python
docker
linux
mlops
sql
gcp
ai
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Tech Lead - Site Awareness
2025-12-02
Full-time
Mid-Senior
Australia
Staffing
Engineering
View Job Details
Related
Senior Software Engineer
2025-12-05
Full-time
Mid-Senior
Australia
Staffing
Engineering
View Job Details
Related
Front End Engineer
2025-08-04
Full-time
Mid-Senior
Australia
Staffing
Engineering
Login to Apply
- Posted
- Aug 05, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Greater Sydney Area
- Company
- The Onset
Industries
Staffing
Recruiting
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Tech Lead - Site Awareness
2025-12-02
Full-time
Mid-Senior
Australia
Staffing
Engineering
View Job Details
Related
Senior Software Engineer
2025-12-05
Full-time
Mid-Senior
Australia
Staffing
Engineering
View Job Details
Related
Front End Engineer
2025-08-04
Full-time
Mid-Senior
Australia
Staffing
Engineering