Job Title

** This is a Fall/Winter 2024 start date internship **

About the Business:

Offer Americas: GenAI Configuration Assistant Development

The Offer R&D group in the Americas aims to provide the next generation of Offer Management systems to Airlines to create, manage and deploy optimized offers in a dynamic way. We work closely with the biggest players of the industry (Kayak, Expedia, American, Delta, Southwest, Air Canada...etc) to ensure the travel solutions' selection and offer computation are up to high expectations. We are responsible for some of the largest Amadeus applications that process about 65000 transactions per second at peak time with data storage based on state-of-the-art NoSQL technology.

Summary of the role:

We are seeking a highly motivated and talented Trainee to develop an internal configuration assistant using AI.
Join our dynamic team to explore the integration of Generative Artificial Intelligence (GenAI) technologies in enhancing our internal systems. This project focuses on developing an AI-powered assistant that can recommend system configuration changes and explain configurations interactively based on user inquiries.

In this role you'll:

Project Objectives:

• Development of an AI Assistant: Design and implement an assistant capable of generating and explaining configuration changes in response to user requests.
• Utilize Historical Data: Leverage extensive historical data, including past changes, user comments, and related documentation, to inform the assistant’s responses and suggestions.
• Comprehensive Documentation Study: Study and integrate configuration documentation and associated code to enhance the assistant’s knowledge base.
• Evaluation Framework: Establish robust methods to evaluate the accuracy and relevance of the assistant’s suggestions to ensure they meet operational standards.

Key Technologies:

• Python
• ChatGPT
• Large Language Models (LLMs)
• Model Evaluation Techniques
• Prompt Engineering

About the Ideal Candidate:

• Currently enrolled in a Masters degree university program.
• Passionate about AI and machine learning, especially in practical, real-world applications.
• Strong background in Python programming and experience with AI model development.
• Familiarity with prompt engineering and evaluation metrics for AI models.
• Keen interest in documentation analysis and data-driven decision making.

Working at Amadeus, you will find:

A critical mission and purpose - At Amadeus, you will be powering the future of travel and pursuing a critical mission and extraordinary purpose.

A truly global DNA - Everything at Amadeus is global, from our people to our business, which translates into our footprint, processes, and culture.

Great opportunities to learn - Learning happens all the time and in many ways at Amadeus, through on-the-job training, formal learning activities, and day-to-day interactions with colleagues.

A caring environment - Amadeus fosters a caring environment, nurturing both a fulfilling career and personal and family life. We care about our employees and strive to provide a supportive work environment.

A complete rewards offer - Amadeus provides attractive remuneration packages, covering all essential components of a competitive reward offer, including salary, bonus, equity, and benefits.

A flexible working model - We want our employees to do their best work, wherever and however it works best for them.

A diverse and inclusive community - We are committed to leveraging our uniquely diverse population to drive innovation, creativity, and collaboration across our organization.

A Reliable Company - Trust and reliability are fundamental values that drive our actions and shape long-lasting relationships with our customers, partners, and employees.

Application process:

The application process takes no longer than 10 minutes!
Create your candidate profile, upload your Resume/CV and apply today!

Diversity & Inclusion

Amadeus is an Equal Employment Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or a related medical condition), ancestry, national origin, age, genetic information, military or veterans status, sexual orientation, gender expression, perception, or identity, marital status, mental or physical disability status, or any other protected federal, state, or local status unrelated to performance of work involved.

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