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platforms Knowledge of feature engineering and ML data pipelines Experience integrating AI/ML models into BI workflows Understanding of predictive analytics and anomaly detection Familiarity with embedding
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-world impact, designing architectures that scale, integrating models that deliver, and solving problems that matter. You will: Provide architectural leadership across your assigned portfolio, ensuring
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sustainable operational models. You will: Lead the design, delivery and optimisation of enterprise-scale cloud infrastructure solutions Strengthen automation strategies to enable efficient provisioning
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checks, and report maintenance and WHS concerns. Deliver high-quality customer service, follow health and safety requirements, provide basic advice and referrals, and model professional and ethical
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Experience integrating and deploying ML/GenAI models and working with vector databases Knowledge of RESTful APIs, GraphQL and WebSockets Experience with React (Vite and Material UI) Understanding
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Strong experience integrating and deploying ML and GenAI models Proficiency in Python, FastAPI and scalable API design (REST, GraphQL, WebSockets) Experience with React (Vite, Material UI) and modern
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for enterprise-wide AI adoption and maturity models Experience establishing/contributing AI governance, ethics, and compliance frameworks Understanding of AI/ML platforms and when to build vs. buy Knowledge
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skills in economic evaluation and economic modelling, underpinned by publications in quality journals, and exhibitions where relevant to the discipline. Success in obtaining and timely completion
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the ability to model, forecast and articulate the financial implications of infrastructure and cloud decisions A track record of leading cultural change and uplifting capability in established teams Exceptional