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    Machine Learning Platform Engineer - Sydney, Australia - Macquarie

    Macquarie
    Macquarie Sydney, Australia

    4 days ago

    Default job background
    Full time
    Description

    Join a newly established team designing, building and operating Machine Learning solutions in our Banking and Financial services group. This team is pivotal in our journey to empower Macquarie's data science and machine learning capability at scale using cutting edge cloud technology.

    At Macquarie, we are working to create lasting value for our communities, our clients and our people. We are a global financial services group operating in 34 markets and with 54 years of unbroken profitability. You'll be part of a supportive team where everyone - no matter what role - contributes ideas and drive outcomes.

    What role will you play?

    As a Machine Learning Platform Engineer, you'll take end-to-end ownership of your product in a modern DevOps culture. You'll be responsible for architecture, design, development, testing and operations and deliver incrementally in iterative cycles. You will have an Agile mindset and keen interest in software engineering across a range of technologies.

    You will work in a multi-disciplinary team alongside our data scientists to build ML powered solutions for our clients as well as implement MLOps to streamline the model experimentation and ML tooling and workflows for our Data Scientists.

    What you offer

    • Minimum 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 organisations and experience with SQL and Python environments.
    • Data engineering experience will be highly regarded
    • Previous experience and familiarity with cloud technologies and architectural practices to enhance tooling across the ML model development lifecycle
    • Good collaboration and communication skills, a self-starter that is able to work in a team to deliver solutions

    We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.

    Benefits

    Macquarie employees can access a wide range of benefits which, depending on eligibility criteria and location, include:

    • Hybrid and flexible working arrangements
    • Wellbeing and service bonus leave
    • 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

    About Banking and Financial Services

    Banking and Financial Services is Macquarie's retail banking and financial services business, providing a diverse range of personal banking, wealth management, business banking and vehicle finance products and services to retail clients, advisers, brokers and business clients.

    Our commitment to Diversity, Equity and Inclusion

    We are 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, including gender, race, ethnicity, cultural identity, nationality, age, sexual orientation, gender identity, intersex status, marital or family status, neurodiversity, religion or belief, disabilities, or socio-economic background.

    If you require adjustments to your working arrangements or the recruitment process, please let us know when applying.

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