Develop and integrate a sophisticated AI component for our web application that dynamically interprets user inputs to provide online course development cost estimates. The ML/AI engineer will play an instrumental role in ensuring that the AI-driven interpretations are accurate, timely, and relevant. The developed models should seamlessly fetch real-time data and provide the user with detailed, actionable outputs. You would be working on a team with other Full-Stack Developers and UX Professionals.

*This project promises an invigorating experience for engineers as they delve deep into real-world AI applications, interfacing with web applications and handling dynamic data sources.

Engineers will embark on a detail-oriented journey that includes:

• Data Collection and Cleaning: Acquire and preprocess data relevant to course development costs.
• Model Development: Design and train AI models tailored for dynamic cost estimation based on user inputs.
• Integration: Collaborate with the development team to integrate AI models with the web application.
• Real-time Data Handling: Develop systems to fetch and incorporate real-time data into AI-driven estimates.
• Optimization: Continuously refine the models to ensure accuracy and efficiency.
• Evaluation: Implement robust evaluation metrics to gauge model performance.
• Scalability: Ensure the AI solutions are scalable and can handle a large number of concurrent users.
• Collaboration: Work closely with UX/UI designers to ensure that AI outputs are interpretable and user-friendly.

Engineers will receive robust support, including:

• Data Access: Provision of all necessary data sources, both static and real-time.
• Computational Resources: Access to high-performance computing resources for training and deploying models.
• Collaboration: Regular interactions with the web development and design teams for seamless integration.