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Build and own ML systems that forecast energy demand, detect faults, and drive dispatch decisions in real time, from data pipelines to production deployment.
Build and scale the ML infrastructure that powers Nearmap’s aerial imagery AI products, including real-time model serving, distributed training, and LLM platforms on AWS/GCP.
Build and scale the ML platform that powers Nearmap’s aerial imagery analytics and generative AI products, running on AWS/GCP with Kubernetes, Ray Serve, and GPU workloads.
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 and evaluate LLM and agent-based AI systems for mining software, using PyTorch and ML evaluation frameworks to improve model reliability and performance.
Build and optimize the core execution engine for AI agents that resolve customer support tickets, integrating LLMs, tool calls, and retrieval pipelines in Python on Kubernetes.
Lead the enterprise AI platform at Kmart, defining strategy and governance while scaling AI adoption across stores, supply chain, and customer experience with a global team.
Build and scale the ML infrastructure that powers Nearmap’s aerial imagery and AI-driven property analytics, including batch inference, real-time model serving, and LLM platforms on AWS/GCP.
Build and scale the ML infrastructure that powers Nearmap’s aerial-imagery AI, including EKS batch inference, Ray Serve real-time serving, and GPU training on AWS/GCP.
Leads AI/ML engineering for SEEK’s Pricing and Performance division, building scalable data pipelines and AI systems to analyze job ads and hirer behavior.
Build and deploy AI/ML models for mission-critical government programs, integrating them into secure platforms and shaping certification policies.
Design and deploy ML models for classification, prediction, and optimization using Python and cloud platforms, collaborating with teams to solve real-world problems in energy, finance, and more.
Build and deploy AI/ML models across commercial, space, and defense sectors using Python, TensorFlow, and PyTorch.
Build and deploy computer-vision and generative-AI models to track construction progress, validate claims, and improve site visibility for large firms.
Build and deploy ML/DL models for signal processing and data fusion to support national security systems, using Python, PyTorch/TensorFlow, and Linux.
Build and deploy ML models to detect fraud and improve customer experience in a global digital gifting and payments platform.
Senior ML engineer building perception systems for autonomous maritime robots using computer vision, sensor fusion, and real-time ML pipelines.
Build and optimize OCR and handwriting-recognition models for an EdTech platform, turning student essays into structured text and improving teacher feedback workflows.
Build and deploy production-grade ML models and pipelines to improve pet healthcare outcomes using Python, cloud platforms, and modern AI practices.
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