Architect and implement full-stack solutions for ML systems, scale backend services, and develop deployment infrastructure for cloud and on-premise environments.

The role involves leading experiments to evaluate AI model performance, developing tools for rapid testing, and collaborating across teams to align model improvements with customer needs.

The role involves optimizing and deploying local large language models (LLMs), customizing ML models for real-world applications, and ensuring effective deployments in resource-constrained environments. You will work on AI systems that push the boundaries of technology and drive customer impact.

The role focuses on managing strategic partnerships, developing go-to-market strategies, negotiating complex agreements, and mentoring junior team members within an AI-driven environment.

Lead the implementation of Liquid Foundation Models (LFMs) for enterprise customers by translating their needs into technical solutions, guiding teams, and managing end-to-end customer relationships.