AI/ML Engineer

Relocation
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Join Ryanair Labs as an AI/ML Engineer to develop cutting-edge tech solutions for Europe's largest airline group. Design, develop, and deploy generative AI models to transform aviation and drive customer experience. Collaborate with cross-functional teams to integrate AI components into larger systems.

Key Highlights
Design and deploy generative AI models
Collaborate with cross-functional teams
Stay up-to-date with AI research and methodologies
Key Responsibilities
Design, develop, and deploy generative AI models
Work with unstructured data to train models
Optimize machine learning models and foundation models
Collaborate with cross-functional teams to integrate AI components
Stay up-to-date with AI research and methodologies
Technical Skills Required
Python Generative AI models MLOps/LLMOps Azure or AWS data science tooling Computer vision NLP Machine learning
Benefits & Perks
Competitive Salary
Hybrid working options
Fast-paced environment
Nice to Have
Infrastructure as Code (IaC) knowledge
DevOps and Agile methodologies

Job Description


Description

Ryanair are currently recruiting for a AI/ML Engineer to join Europe’s Largest Airline Group!

**This role is based in our Madrid office and will require relocation**

This is a very exciting time to join Ryanair as we look to expand our operation to 800 aircraft and 300 million guests within the next 10 years.

Ryanair Labs is the technology brand of Ryanair. Labs is a state of-the-art digital & IT innovation hub creating Europe’s Leading Travel Experience for our customers. By joining Ryanair, you will develop cutting edge tech solutions inside Ryanair, transforming aviation for Pilots, Cabin Crew & Ground Ops, as well as driving the tech experience for our customers on Europe’s largest travel website!

We are seeking a talented and innovative AI/ML Engineer to push the boundaries of what is possible with AI. The ideal candidate will have a robust foundation in machine learning, coupled with a proven track record in developing and deploying AI systems.

Responsibilities

  • Design, develop, and deploy generative AI models that can handle a wide variety of tasks, including but not limited to content creation, recommendation engines, and chatbots.
  • Work with unstructured data to train models that can generate human-like text, images, and other content forms.
  • Optimize machine learning models and foundation models.
  • Collaborate with cross-functional teams to integrate AI components into larger systems.
  • Stay up to date with the latest AI research and methodologies to ensure the use of best practices in the field.
  • Apply MLOps/LLMOps principles to ensure scalable and efficient model training and deployment.
  • Actively participate in the development and maintenance of AI safety and content moderation systems.
  • Utilize Azure or AWS data science tooling to build and maintain robust AI solutions.
  • Generate ideas for enhancement and assist in the evaluation process for selecting the most suitable technologies.
  • Advance and refine model prompts, chains, RAG (Retrieval-Augmented Generation) systems.
  • Conduct regular technology reviews to stay updated on the latest advancements in AI, machine learning, computer vision, and NLP.

Requirements

  • You will have relevant experience working on enterprise level projects.
  • You are an expeienced AI/Machine Learning Engineer.
  • Proven experience in computer vision and NLP workloads.
  • Deep understanding of knowledge mining techniques.
  • Hands-on experience with generative AI models and familiarity with common use cases for Generative AI.
  • Experienced in Python and familiarity with software development best practices.
  • Experience with MLOps/MLLops for maintaining machine learning lifecycle.
  • Familiarity with Azure or AWS data science tooling.

Nice To Have

  • Familiarity with common Machine Learning techniques such as classification, regression, clustering, and deep learning.
  • Infrastructure as Code (IaC) knowledge
  • Familiarity with DevOps and Agile methodologies in a collaborative setting
  • Doctorate degree (PhD) or equivalent research experience

Education And Experience

  • Bachelor’s or Master’s degree in computer science, Artificial Intelligence, Machine Learning, or related field.
  • Proven track record of successfully implementing AI/ML projects.

Benefits

  • Competitive Salary
  • Work with cutting edge technologies
  • Hybrid working options.
  • Fast-paced environment

Competencies

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