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The Lead AI Engineer will develop and train AI tools while collaborating with cross-functional teams. Responsibilities include designing AI models, preparing data for machine learning, deploying AI solutions in cloud environments, and integrating AI technologies with clients' business processes. The role also includes maintaining up-to-date knowledge of AI trends and enforcing best practices for version control.

The Data Engineer will build and optimize data pipelines and architectures in the cloud for international clients. Responsibilities include data warehouse development, ETL/ELT infrastructure management, building scalable data models, and ensuring data governance and security. Acting as a key collaborator with cross-functional teams, you'll enhance performance and operational efficiency.

The Data Architect will design and implement data architecture solutions, focusing on data modeling, integration, and analytics. Responsibilities include leading architectural discussions, executing large-scale data migrations, and collaborating with clients and project teams to ensure effective data storage and compliance with best practices.