Teams at EvolutionIQ

Design and build scalable data pipelines and backend systems for AI solutions. Lead architecture, code quality, security guardrails, and review AI-accelerated output. Partner with product, data science, and client teams to transform pipeline outputs into actionable insights. Own full feature lifecycle from prototyping with agentic tools to production-grade deployments.

Design, build, and deploy production ML models (time series forecasting and NLP). Perform EDA, feature engineering, model evaluation, and translate business problems into ML solutions. Maintain production model-serving pipelines and collaborate across teams to deliver scalable data-driven systems.

Lead end-to-end design for 0-1 and existing B2B enterprise products in regulated, data- and AI-driven domains. Partner with product, engineering, and clients to translate needs into usable experiences, evolve the design system, navigate tradeoffs (user, data, ML, technical, regulatory), and raise design quality across the organization.