As an AI Engineer, you will develop, deploy, and optimize AI models, ensuring their integration into existing IT systems while supporting new features and lifecycle management.

As a Fullstack Engineer, AI, you will develop production-grade solutions, collaborate with clients, and solve complex real-world problems using AI technology.

The AI Quality Architect will lead projects on AI quality indicators, develop frameworks for AI quality assurance, and mentor teams while navigating AI governance.

The job involves evaluating, testing, and improving computer vision models for safety and effectiveness in production, using analytical methods and frameworks.

The role involves evaluating and testing computer vision models for safety and performance, developing evaluation frameworks, and leading research initiatives.