Preeminent Technologies is Fostering Technological Advancements in Global Travel Sector through Building Innovative Solutions in Canada. We are building an AI, Big Data Analytics, LLMs/Machine Learning enabled traveler-centric (comprehensive enterprise commercial) travel planning and travel booking platform.

Segment 1:

As back-end developers, the intern resources will be responsible for developing and maintaining cloud-based azure functions, backend-APIs using .Net 8, C#, Azure, and Enterprise APIs. These resources will collaborate with cross-functional teams to design, develop, and implement scalable, secure and cloud hosted solutions. Additionally, the resources will participate in code reviews, troubleshoot system issues, and contribute to continuous improvement initiatives.

Segment 2:

We are developing programs and training automations in analyzing AI datasets, OpenAI, conversational and generative AI models, building automation for AI and LLM/ML model training, fine-tuning AI and LLM/ML models, and running automated test processes to validate results against real-time data, price, availability, and other parameters.

The machine-learning problem we are addressing revolves around optimizing search processes within the travel domain, particularly when dealing with datasets sourced from multiple providers.

I wanted to reach out to explore potential collaboration opportunities for us to support development activities and would welcome the opportunity to connecting with your team on this initiative to discuss further details.

Required Expertise Skills:

The ideal candidates will have strong background in software development, cloud platforms, SDLC concepts, clean architecture approach, and possess the technical skills necessary to integrate various APIs and modern technologies seamlessly. We are looking to fill in the role of technical intern resources as intermediate backend developers, will be responsible for developing and maintaining cloud-based application using .Net 8, C#, Azure OpenAI service, and Enterprise API integrations.

1. Integration Plan: Develop a comprehensive plan outlining the integration process, including data mapping, authentication mechanisms, error handling, and testing strategies.
2. API Integration Modules: Implement modules to integrate selected APIs into our existing systems, ensuring seamless data exchange and synchronization.
3. Testing and Documentation: Conduct thorough testing to validate the functionality and reliability of the integrated APIs. Provide detailed documentation covering setup instructions, usage guidelines, and troubleshooting tips.
4. Demonstration and Presentation: Present the integrated solution to the project stakeholders, showcasing its benefits, features, and potential impact on business operations.

1. Initial Guidance: Provide an overview of the company's data management infrastructure, highlighting key challenges and opportunities for improvement.
2. Technical Support: Assign experienced developers as mentors to assist students throughout the integration process, offering guidance on best practices, troubleshooting issues, and optimizing performance.
3. Feedback and Review: Regularly review project progress, provide constructive feedback on implementation approaches, and suggest improvements to ensure alignment with company standards and objectives.
4. Networking Opportunities: Facilitate interactions between students and relevant stakeholders within the company, enabling them to gain valuable insights and expand their professional network in the industry.