Teams at Point Wild

Architects and maintains GCP-based infrastructure, pipelines, and tooling for deploying, scaling, and monitoring production machine learning models. Owns model serving, CI/CD and continuous training workflows, observability, drift detection, feature engineering integrations, and scalable training environments. Collaborates with AI researchers, data engineers, and backend teams to transform prototypes into secure, reliable, auto-scaling services.

Architects and maintains GCP-based infrastructure, pipelines, and tooling for deploying, scaling, serving, and monitoring production machine learning models. Builds CI/CD and continuous training workflows, supports model observability and drift detection, enables AI research teams, and transitions prototypes into secure, reliable, auto-scaling microservices. Collaborates with data, backend, and AI engineering teams on feature stores, dataset versioning, and high-performance inference systems.

Architects and maintains GCP-based infrastructure, pipelines, and tooling for deploying, scaling, serving, and monitoring production machine learning models. Builds CI/CD and continuous training workflows, model-serving systems, observability, drift detection, and auto-scaling microservices. Supports AI and data engineering teams with training environments, feature pipelines, and standardized deployment practices while transitioning prototypes into secure, reliable production systems.