Architect and deliver AI solutions end-to-end — machine learning systems, data pipelines, model serving, and AI-powered applications — at production engineering standards, contributing directly to code and design when required
Solution Implementation: Translating business and operational requirements into scalable AI capabilities that automate workflows and augment decision-making.
Partner with business teams to identify pain points, understand user journeys and prioritize AI opportunities against strategic value, feasibility and adoption potential.
Partner with business teams to identify pain points, understand user journeys and prioritize AI opportunities against strategic value, feasibility and adoption potential.
As a Data Acquisition Engineer (AI Systems), you will work at the intersection of software engineering, browser automation, distributed systems, and AI. You will help design and build platforms that collect, process, and deliver structured data from a wide range of public sources while continuously improving their reliability and resilience.