Health education and addiction treatment services with emerging data analytics infrastructure
AHEV operates a specialized health education and addiction treatment service across Australia, but the tech stack reveals an organization in mid-transformation: SAP + AWS/Azure + machine-learning tools (PyTorch, TensorFlow, scikit-learn, Databricks, Spark) suggest active investment in data science and predictive analytics capability. The project list (predictive analytics on Databricks, large dataset analysis, process automation) and senior-weighted hiring (4 of 5 open roles at senior level) signal a shift from service delivery toward data-driven operations and internal process optimization.
AHEV is a Victoria-based health education and addiction treatment provider founded in 1989, recognized as an Alcohol and Drug Treatment Service under Section 8A of the ADDP Act. The organization delivers outpatient addiction services, behavior-change programs for driver relicensing (approved by VicRoads), a smartphone app for blood alcohol content calculation, educational resources on alcohol metabolism and stress management, and consulting services. The team operates at 2–10 people and has recently begun scaling data infrastructure and hiring senior technical roles, including recruitment extending into the United Kingdom.
SAP for enterprise systems, AWS and Azure for cloud infrastructure, and PyTorch, TensorFlow, scikit-learn, Databricks, and Apache Spark for machine-learning and analytics workloads.
Current projects include cloud-based technology adoption, predictive analytics model deployment on Databricks, process automation, RFX coordination, material standardization, and large dataset analysis to inform business strategy.
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