Machine Learning Platform Engineer
4 weeks ago
At Macquarie, we're seeking a talented Machine Learning Platform Engineer to join our team. As a key member of our engineering team, you'll design, build, and operate scalable ML solutions in a cloud-based environment.
Key Responsibilities:
- Collaborate with data scientists to deliver innovative client solutions using ML-powered tools and workflows.
- Take end-to-end ownership of your product in a modern DevOps culture, responsible for architecture, design, development, testing, and operations.
- Implement MLOps best practices, including CI/CD pipelines, to streamline model experimentation and ML tooling.
- Work with cloud technologies, integrating with ML services like GCP Vertex AI, DataRobot, or AWS SageMaker, in large and complex organisations.
- Develop data engineering skills to enhance tooling across the ML model development lifecycle.
- Communicate effectively with cross-functional teams to deliver solutions.
Requirements:
- 5+ years experience as a software engineer in an agile DevOps environment using an object-oriented development language (Java, Python).
- Experience across the full SDLC, including design, build, test, and supporting mission-critical production platforms.
- Demonstrated proficiency in cloud technologies and integrating with ML services.
- Data engineering experience will be highly regarded.
- Good collaboration and communication skills, a self-starter that is able to work in a team to deliver solutions.
Benefits:
- Hybrid and flexible working arrangements.
- One wellbeing leave day per year and up to five additional days leave based on length of service.
- Up to 20 weeks paid parental leave as well as benefits to support you as you transition to life as a working parent.
- Paid volunteer leave and donation matching.
- Range of benefits to support your physical, psychological, and financial wellbeing.
- Access to a wide range of learning and development opportunities.
Macquarie is committed to providing a working environment that embraces diversity, equity, and inclusion. We encourage people from all backgrounds to apply for a role regardless of their identity.
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