Generative AI Engineer — Hybrid, Global Travel Platform

Ryanair Group Holdings; Wrocław; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Staff travel benefits

Training & conferences

Multisport card

Hybrid work model

Job summary

Ryanair Group Holdings in Wroclaw, Poland, is seeking a talented AI/ML Engineer to push the boundaries of generative AI, NLP, and computer vision within Ryanair Labs. You will help design and deploy AI solutions that power Europe's largest travel platform and support pilots, crew, and operations.

Join a fast-paced, innovative team and work across Azure/AWS ecosystems, applying ML Ops and safety practices to deliver scalable, cutting-edge AI products.

Qualifications

• Degree in computer science, AI, or related field with proven AI/ML project experience.
• Strong background in computer vision and NLP workloads is required.
• Experience deploying generative AI models and knowledge mining techniques.

Responsibilities

• Design, develop, and deploy generative AI models across tasks like content creation and chatbots.
• Work with unstructured data to train models generating text, images, and content.
• Optimize machine learning and foundation models for production use.
• Collaborate with cross-functional teams to integrate AI components into systems.
• Stay current with AI research and best practices; apply MLOps/LLMOps for scalability.
• Ensure AI safety, content moderation, and governance in deployments.
• Utilize Azure or AWS data science tooling for robust solutions.

Skills

Computer vision

NLP workloads

Knowledge mining

Generative AI

Python

MLOps

Cloud tooling

Education

Bachelor's/Master's in CS/AI

Tools

Azure

AWS

Terraform

Job description

Ryanair Group Holdings in Wroclaw, Poland, is seeking a talented AI/ML Engineer to push the boundaries of generative AI, NLP, and computer vision within Ryanair Labs. You will help design and deploy AI solutions that power Europe's largest travel platform and support pilots, crew, and operations.

Join a fast-paced, innovative team and work across Azure/AWS ecosystems, applying ML Ops and safety practices to deliver scalable, cutting-edge AI products.