Internship - Enhancing Bid Discovery And Proposal Automation Using Ai Milano

Internship - Enhancing Bid Discovery And Proposal Automation Using Ai
Milano
Lombardia, Milano

CESI Consulting : For over 30 years, CESI Consulting has been supporting governments, regulatory bodies, energy companies and private investors in the energy sector in addressing and overcoming the many challenges that the energy transition is posing everywhere.

With over 50 countries in which it operates, CESI Consulting employs over 350 technicians and engineers to support the planning, design and management of the most innovative energy infrastructures of the future: the spread of new technologies such as electric vehicles, hydrogen, nuclear, AI, automation and offshore wind, as well as increasingly challenging environmental contexts such as the laying of submarine cables at ever greater depths and the cross-border connections of intelligent electricity networks between deserts, mountains and lakes require increasingly innovative approaches and increasingly brilliant talents.

  Title: Enhancing Bid Discovery and Proposal Automation Using AI   Objective: The primary objective of this thesis is to develop and implement an AI solution to enhance the efficiency, accuracy, and overall effectiveness of bid discovery and proposal automation processes for CESI Consulting.

  Scope Literature Review: Review existing AI technologies and their applications in bid discovery and proposal automation.

Requirement Analysis: Understand CESI's business and ICT background.

Identify the specific requirements for the AI solution, including pre-trained models, integration with existing systems (e. g. , Salesforce), and customizability.

Design and Development: Identify sources for bid discovery Define key metrics to evaluate the success of the AI solution (eg.

bid discovery accuracy, proposal quality, efficiency improvement, and user satisfaction).

Support internal key user in defining prompt and offering document templates Contribute in user acceptance testing (UAT) to ensure the solution meets the requirements.

Evaluation: Measure the success of the AI solution using designed metrics Documentation: Prepare a final report summarizing the findings and outcomes of the thesis.

  Timeline: 6 months   Student Profile   Educational Background: Bachelor's degree in Computer Science, Information Technology, or a related field.

Currently pursuing a Master's degree in Artificial Intelligence, Data Science, or a related field.

  Skills and Competencies: Strong understanding of AI technologies and their applications.

Proficiency in Python programming language.

Experience with AI frameworks, tools and cloud services.

Excellent analytical and problem-solving skills.

Strong communication and documentation skills.

  Settore: Ingegneria Ruolo: Ricerca e sviluppo Tipo di occupazione: Stage