Full-stack Engineer

• Work with product, data, and engineering teams to define ML goals and technical strategies
• Design, build, and deploy machine learning models that power personalization, automation, and insight generation
• Manage the ML lifecycle: data pre processing, feature engineering, model training, evaluation, and deployment
• Build scalable ML infrastructure and deployment pipelines
• Integrate ML outputs into user-facing products and backend systems
• Stay current with AI/ML trends and apply relevant innovations into our stack
• Contribute to debugging, testing, and optimization of production ML systems

Founding AI Software Engineer

Principal Product Engineer – Digital Twins

Staff Software Engineer – Data Platform

Senior Software Developer – Vibe Coder, Low-Code

Full Stack Engineer – AI