Strong proficiency in dataflow programming or frameworks such as TensorFlow, PyTorch, Caffe, MXNet, or Cognitive Toolkit, and may develop scripts in Python, Java, C++, Go, or equivalent languages; experience building and deploying web-based tools, APIs, or automated workflows in a business context. The focus is on practical impact: automations that reduce manual effort, AI-assisted tools that improve decision quality, integrations that connect systems that currently require human intermediation, and rapid prototypes that let business teams test new approaches before committing to them at scale.