AI FrontEnd Engineer - Inglés Avanzado

• Develop Interactive Interfaces : Design and implement user-friendly, responsive web applications that utilize AI technologies to enhance user experience.
• Integrate AI Models : Work closely with data scientists and backend engineers to integrate AI models into frontend applications, ensuring seamless functionality.
• User Experience (UX) Design : Collaborate with UX / UI designers to create intuitive interfaces that leverage AI features effectively, focusing on usability and aesthetic appeal.
• Performance Optimization : Monitor and optimize the performance of frontend applications, ensuring fast load times and smooth interactions, especially when processing AI-related tasks.
• Data Visualization : Implement data visualization tools and libraries to present AI insights and outputs in an understandable and engaging format.
• Testing and Quality Assurance : Conduct thorough testing for functionality, performance, and security of the frontend applications, including usability testing for AI-powered features.
• Documentation : Maintain clear and comprehensive documentation for codebases and AI model integrations to support team collaboration and future development.
• Stay Up to Date : Keep abreast of the latest trends and advancements in AI, machine learning, and frontend technologies to recommend and implement improvements.

Skills and qualifications :

• Educational Background : Bachelor’s degree in Computer Science, Software Engineering, or a related field; Master’s degree preferred.
• AI / ML Experience : Familiarity with machine learning concepts and libraries (e.g., TensorFlow.js, PyTorch) is essential for integrating AI functionality.
• Data Handling Skills : Knowledge of APIs and experience with data formats like JSON or XML to retrieve and transmit data effectively.
• Responsive Design : Strong understanding of responsive web design principles and techniques.
• Problem-Solving Skills : Strong analytical and problem-solving abilities, especially in troubleshooting frontend issues related to AI implementations.
• Version Control : Experience with version control systems such as Git.
• Collaboration Skills : Excellent communication and teamwork skills to work effectively with cross-functional teams.

Tools and technologies :

• Frontend : Proficiency in React / Angular / Vue, TypeScript, and state management.
• AI / ML : Experience with client-side ML libraries and API integration (e.g., REST, GraphQL).
• Performance : Knowledge of Web Workers, caching, and model optimization.
• Testing : Familiarity with Jest / Cypress for AI feature validation.

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