Teams at Nearmap

Own design, implementation, and production operations of scalable ML infrastructure: batch inference, real-time model serving, distributed GPU training, LLM platform, CI/CD, observability, and developer experience for AI teams.

Own design, implementation, and production operations of large-scale ML infrastructure: batch inference on Kubernetes, real-time model serving, GPU-distributed training, LLM platform development, CI/CD and developer experience, reliability and observability, and contributing production Python libraries while engaging with ML tooling vendors.

Lead HR for Australia and Poland, translating global HR strategy into local plans, advising leaders on employee relations and legislation, managing performance and ER cases, implementing regional policies and ESG programs, partnering on payroll/onboarding, and shaping engagement and workplace experience.