ML Engineer

vor 6 Stunden

Council of the City of Sydney, Österreich Talenza Vollzeit

Job Opportunity: Machine Learning Engineer - Financial Services (Sydney) Salary: $150,000 + Super Location: Sydney CBD (Hybrid) Tech Focus: Azure | Python | SQL | AI Enablement A leading Financial Services institution is embarking on a major wave of AI-driven initiatives, and we're looking for a talented Machine Learning Engineer to join the team. In this role, you'll help design, build, and deploy machine learning solutions on Azure, supporting enterprise-wide AI rollout programs. You'll work closely with data scientists, cloud engineers, and business stakeholders to drive innovation and deliver impactful, scalable ML systems. Responsibilities Develop, deploy, and maintain ML models and pipelines in Azure Collaborate with cross-functional teams to support AI program delivery Optimise and automate model training, monitoring, and performance processes Build scalable data workflows using SQL, Python, and Azure data services Assist with model governance, documentation, and best-practice implementation Contribute to the design of cloud-native ML architectures Qualifications Strong experience as a Machine Learning Engineer, Data Engineer or similar Proficiency in Python for ML engineering, data manipulation, and automation Solid knowledge of SQL and relational data systems Hands-on experience with Azure ML, Azure Data Factory, Databricks, or related Azure services Experience deploying ML models into production environments Familiarity with MLOps practices is a strong advantage Experience in Financial Services is desirable but not essential Join a major institution at the forefront of AI transformation Work with a modern Azure data / ML stack Strong career growth opportunities across data, cloud, and AI teams Competitive salary: $150k + Super If you'd like, I can also tailor this to a specific brand voice, shorten it for LinkedIn, or format it for a job board like Seek. #J-18808-Ljbffr

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