Join our team in designing, building and operating Machine Learning solutions in Macquarie's Banking and Financial services group. This team is pivotal in empowering Macquarie's data science and machine learning capability at scale using cutting edge cloud technology.
Job Description
This role will play a key part in shaping the future of our organization by developing and implementing Machine Learning solutions that drive business outcomes.
About You
* You have 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
* Able to implement MLOps best practices including CI/CD pipelines
* Demonstrated proficiency using cloud technologies and integrating with ML services including GCP Vertex AI, DataRobot or AWS SageMaker in large and complex organizations
* Data engineering experience will be highly regarded
About Technology
Technology enables every aspect of Macquarie, for our people, our customers and our communities. We're a global team that is passionate about accelerating the digital enterprise, connecting people and data, building platforms and applications and designing tomorrow's technology 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
Our Commitment to Diversity, Equity and Inclusion
We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, family and domestic violence status, neurodiversity, religion or belief, disability, or socio-economic background.