MLOps Engineer

Be a part of buildingthe ideal data and ML/AI ecosystem from scratch.Spearhead the integration of the latest capabilities to enhance customer experiences and transform business operations. Embrace the vision of democratizing ML/AI technology, making it accessible to all by establishing robust engineering standards, simplifying complexities, and designing effective controls and guardrails. This leadership role goes beyond conventional boundaries, empowering you to lead and innovate across many aspects of our data enablement value stream.
Your role as an MLOps Engineer will be similar to DevOps engineer, with stretched focus on productionizing Machine Learning features.
Design and implement scalable AI solutions that enablesdata engineers and ML scientists to train, build and maintain machine learning models effectively.
Develop automated processes for continuous model training and evaluation pipelines specifically for ML applications.
Ensure the seamless integration of ANZ Plus's current architecture with newly added ML functionalities, enhancing overall system capabilities.
Collaborating with diverse stakeholders includingbusiness partners, risk, legal and security teams, as well as UX designers and architectsto define and implement robust validation and verification strategies
Fostering a culture of quality coding practices, including test-driven development, unit testing and secure coding awareness
Focus on business practicality and the 80/20 rule, aiming for high bar for code quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future".