Ryanair are currently recruiting for a AI/ML Engineer to join Europe’s Largest Airline Group!
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. The Ryanair platform has over 1 billion visits per year. 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!
Ryanair Labs has more than 600 employees across our offices in Dublin, Madrid, Poland, and Portugal. Our plan is to continue to grow our IT Labs Team so we are always on the lookout for the best talent. Apply today for more information.
Job Description
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. You will play a pivotal role in pioneering projects that leverage Generative AI to create new and transformative experiences. If you are driven by curiosity, excel in a fast-paced environment, and are eager to make a significant impact within a cutting-edge AI department, we want to hear from you.
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.
Qualifications
- 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.
- Proficiency 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.
Additional Information
Contract of employment (permanent contract after trial period)
- Possible hybrid model (2 days from the office weekly)
- Option to participate in trainings and conferences
- Staff travel benefits from day one
- Creative work tax deduction
- Multisport card
- Private health care
- Group insurance scheme
- - - or - - -
B2B
- Possible hybrid setting (minimum 1 day per week from the office)
- Possible permanent place in the office
Other benefits:
- Possibility of taking part in trainings and certifications
- Great chance to meet your colleagues in other offices
- Annual events (i.e. St. Patrick’s Day )
- Regular social meetings
- Paid referral system
- New office building surrounded by great dinettes right in the city centre
Recruitment process:
Send us your application in English and let's get started! Here's what you can expect:
- Phone Call – get to know the Recruiter, and let us learn a bit about you.
- Technical Interview – dive deeper with our Team to explore your expertise and approach.
- Final Interview – meeting with the Team Managers and Recruiter, combining technical questions and soft skills discussion. This stage will also include a live coding exercise.
- Offer – if we’re a match, we’ll present you with an offer and schedule your start day with us!
During each of above steps we'll be happy to answer any questions you may have. Apply today to discuss the role in more detail!