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Designs and builds enterprise AI/ML solutions using deep learning and GenAI, deploys scalable pipelines, and leads end-to-end projects from data assessment to production.
Build and scale distributed systems that power AI features for millions of users, integrating LLMs into production using Python, Spark, and Kubernetes.
Build AI-powered cybersecurity tools that analyze and visualize data to improve customers' security posture at scale.
Build and lead a cross-platform mobile app for an AI-driven women's health companion, shipping to app stores and integrating privacy-focused data architecture with PMS and AI services.
Snooze is seeking an AI and Reporting Solutions Developer to enhance data usage, reporting, automation and AI across the business. You will partner with the GM of Technology and cross-functional teams to deliver…
Designs and evolves enterprise data platforms and integration strategies to enable advanced analytics and AI across regions.
Who are we? So you might ask, who's CreditorWatch? We are a leading Australian data and technology company that provides businesses with access to unique data and innovative products. By using our platform, our…
J4RVIS in Australia is seeking an Account Executive to drive transformation engagements backed by Salesforce, MuleSoft, data, and AI. You will own the full sales cycle—from prospecting to close—within a growth-focused…
Own AI-driven customer solutions for clients: define strategy, translate needs into AI product requirements, and lead cross-functional teams to deliver ethical, data-driven AI products.
Develop and maintain Python-based software for quantum hardware control and data analysis, collaborating with engineers to automate quantum processor characterization and validation.
Build and ship production-grade AI agents for meditation and mental-health experiences, blending robust engineering with clinical judgment to create safe, evidence-informed wellbeing tools for 30M+ users.
Design and deliver enterprise-scale AI solutions for a university, turning strategic needs into secure, scalable architectures that integrate models and platforms across cloud environments.
Lead a team managing Snowflake data warehouse and AWS data lake pipelines, ensuring secure, scalable data flow and governance for the University of Melbourne.
Lead a team to build and maintain real-time data pipelines and governance frameworks for an insurance company’s enterprise platforms using SQL and cloud technologies.
Lead a 10–15 person team to design and implement cloud-native data engineering solutions for retail and digital platforms, setting technical standards and governance.
Lead a team building and scaling Azure Databricks-based data pipelines for AIA’s insurance analytics platform, mentoring engineers and shaping the architecture.
Lead a team to design and build scalable Azure Databricks data pipelines for AIA Australia’s tech transformation, migrating data and delivering business-aligned data products.
Lead a global team to build and optimize Azure Databricks-based data pipelines for ingestion, curation, and transformation, ensuring quality, security, and performance in an insurance/banking context.
Designs and builds secure Azure data pipelines for a government data transformation program, enabling trusted analytics with Power BI.
Designs and scales enterprise data solutions on Databricks, builds Spark pipelines, and productionises AI models for live/batch inferencing.
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