Teams at Qutwo

Architect and build scalable full-stack and backend systems for intensive ML workloads, own end-to-end MLOps (training, deployment, data pipelines, monitoring), implement CI/CD, security, and testing best practices, and mentor cross-functional teams while translating research into production-grade software.

Develop, implement, and benchmark classical and quantum optimization solutions for enterprise problems. Translate business problems into mathematical models, design QUBO/quantum approaches, use major quantum frameworks, and communicate results to customers and interdisciplinary teams.

Conduct applied and exploratory AI research; build end-to-end ML solutions with scientists, engineers, and customers; translate complex problems into mathematical models; mentor junior researchers and deliver high-impact, scalable ML implementations for quantum-era applications.