Senior ML Platform Engineer (MLOps) $160,000 - $205,000 + Super + Bonus A Chance to Shape the Future of AI in Banking Picture this: a newly formed team in a major Australian bank is setting out on a mission to redefine how data powers decisions. This is not just another engineering role, it's a call to join a team where machine learning meets cutting-edge cloud technologies, transforming the way people and businesses thrive.
From engineering to business operations to customer experiences, your work as a
Senior Platform Engineer (MLOps) will influence the entire ecosystem. This isn't just about building platforms; it's about enabling AI to think, act, and scale at levels never seen before in financial services.
What You'll Do Crafting the future of AI-powered banking tools.
- Design and Build: Architect and engineer scalable machine learning platforms that drive measurable impact.
- Collaborate with Innovators: Partner with data scientists to turn ideas into ML-powered solutions that streamline complex workflows.
- Lead from the Front: Own the entire lifecycle—development, testing, and deployment—of cutting-edge ML tools in an Agile environment.
- Push the Boundaries: Implement MLOps best practices and create CI/CD pipelines that bring efficiency and reliability to ML models.
- Scale AI at its Best: Work with cloud technologies like GCP Vertex AI, AWS SageMaker, and DataRobot, optimizing processes for large-scale implementations.
- Be the Architect of Change: Lay the foundations for a centralized AI platform that will drive cost savings and innovation across the organization.
Your Arsenal of Skills This isn’t your first rodeo. You’ve been in the trenches of MLOps, pioneering frameworks in complex organizations. You’re fluent in:
- Programming Power: Python, Java, and SQL.
- Cloud Command: Hands-on expertise with top-tier cloud tools like GCP Vertex AI, AWS SageMaker, or DataRobot.
- MLOps: Building CI/CD pipelines and scaling ML operations.
- End-to-End Engineering: Crafting solutions across the full software development lifecycle.
- Team Collaboration: Thriving in Agile, cross-functional teams with strong communication skills.
- Visionary Thinking: Using data engineering insights and architectural know-how to create seamless ML ecosystems.
Why This Role Is Different This isn’t a job. It’s a platform for you to leave your mark. You’ll be joining a team at its inception, shaping processes, frameworks, and innovations that will transform the future of financial services.
If you’re excited about tackling challenges that push the boundaries of AI and machine learning, we want to hear from you.
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Apply Now: Submit your CV to
bendavies@preacta ��
Location: Sydney (Full working rights required; no sponsorship offered).