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 preprocessing, 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

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