ML Solutions Architect

As an ML Solutions Architect, be the technical bridge between clients and delivery teams. Lead pre-sales technical discussions, design ML architectures that solve business problems, and ensure solutions are feasible, scalable, and aligned with client needs. This client-facing role requires deep technical expertise and strong communication skills.

Core responsibilities include pre-sales and solution design, client-facing technical leadership, and internal collaboration and handoff. You will lead technical discovery sessions with prospective clients, design end-to-end ML architectures, and manage technical stakeholder expectations. This role involves collaboration with delivery teams, providing technical guidance, and contributing to the development of reusable solution patterns. Experience across various ML applications is required.