Summary: Join WebBeds to design and build impactful AI/ML solutions, contributing to a collaborative and growth-oriented team. Highlights: 1. Design and build AI/ML solutions with real-world impact 2. Collaborate with experienced colleagues in a supportive environment 3. Contribute to a culture of learning and innovation in AI/ML 09 February, 2026 * IT * Palma, Spain * Full time * Hybrid ##### **In this role you will:** – This role can also be based anywhere remotely in Europe – Join WebBeds and help us shape the future of our new Artificial Intelligence and Machine Learning team. You’ll be involved in designing and building AI/ML solutions that uplift the WebBeds marketplace and create meaningful, real‑world impact for our customers and partners. We value curiosity, collaboration, and a supportive environment where everyone can grow — and we welcome applicants from all backgrounds, especially underrepresented groups in tech. ##### **Key Responsibilities.** * Discovery \& Design: Collaborate with colleagues across teams to understand challenges and design practical, well‑fitted AI/ML solutions. * Building AI/ML Solutions: Prototype and develop machine learning and generative AI systems in areas like forecasting, pricing optimization, anomaly detection, and information extraction. Also, experiment with algorithms, structured data modelling, and foundation models using AWS services such as Bedrock, Lambda, and S3\. * Creating Impact: Write clear, maintainable Python code that can evolve into production solutions and work alongside software engineers when solutions are taken toward production. * Collaboration \& Community Contribution: Partner with experienced colleagues in a supportive and open environment where diverse perspectives matter and share good practices in AI/ML, to help promote responsible use of AI, and contribute to a culture of learning and innovation within the team ##### **The skills we would love to see in your suitcase.** * (You don’t need to meet every point — if this role excites you, we’d love to hear from you.) * A degree in Computer Science, Machine Learning, Engineering, Physics, Mathematics, or equivalent experience * Experience developing AI/ML solutions that created real impact in industry or academia. * Strong Python skills and familiarity with libraries such as PyTorch or TensorFlow. * SQL knowledge and experience working with structured data. * MLOps: familiarity with production concepts (versioning, testing, reproducibility) * Interest and experience in modern ML methods, including deep learning and prompt engineering. * A collaborative mindset and the ability to communicate complex ideas clearly to both technical and non‑technical audiences. * A continuous learning attitude and openness to new techniques, tools, and ideas.