Job Title

Base pay rangeA$160,000.00/yr - A$160,000.00/yrWe''re partnering with a large technology driven organisation that sits at the intersection of technology, data and large-scale consumer platforms. The team''s mission is to create better experiences for customers and internal teams alike by embedding advanced analytics and machine learning into real-world decision-making.The role is part of a high-performing analytics engineering function that brings together strong software engineering and world-class data science. The focus is firmly on productionising, scaling and operating ML solutions, using modern cloud-native tooling and agile ways of working to solve complex, high-impact problems.Location: SydneyHybrid | 3 days in office/weekSalary: $160k Base + Super + BonusWhat You''ll Do:Design, develop, deploy and maintain advanced analytics and machine learning solutions in a cloud-native environmentBuild and operate end-to-end ML pipelines, including data pipelines, feature engineering, model deployment and API endpointsTake primary ownership for productionising ML solutions developed in partnership with data scientistsDevelop scalable, reliable batch and streaming solutions to support a wide range of business use casesBuild ML-backed services and APIs using Python (including frameworks such as FastAPI)Collaborate closely with ML engineers, data engineers and data scientists in multidisciplinary, agile teamsContribute to architecture and solution design, clearly communicating trade-offs and recommendationsApply appropriate testing frameworks and engineering standards to ensure robustness, performance and reliabilityContinuously improve engineering practices, tooling and ways of working to improve time-to-market and system qualityWhat You''ll Bring:Strong experience working on production ML systemsA problemsolving mindset with the ability to break down ambiguous, complex challenges into practical solutionsSolid commercial software engineering experience, with advanced Python skills and strong foundations in system designHandson experience building and operating ML pipelines (e.g. managed ML platforms or custom orchestration solutions)Experience designing and integrating RESTful or gRPC APIsProven background building reliable, high-throughput batch and/or streaming systemsExperience working with cloud platforms and modern CI/CD pipelinesFamiliarity with real-time or NoSQL data storesExposure to containerisation and orchestration technologies such as Docker and KubernetesComfortable collaborating across disciplines and communicating technical concepts to both technical and non-technical stakeholdersIf you have any questions about this role or others we have available you can email Jack directly via [email protected] levelMidSenior levelEmployment typeFull-timeJob functionInformation TechnologyIndustriesStaffing and RecruitingTheDriveGroup is 100% committed to improving meaningful diversity in the technology industry.We partner with clients who embrace diversity and seek candidates across all backgrounds, abilities, genders, sexualities, cultures, and faiths.If you have the right skills and attitude we would love to hear from you! #J-18808-Ljbffr