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Artificial Intelligence Machine Learning Engineer

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WebBeds

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Location:
Spain , Palma

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

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.

Job Responsibility:

  • 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

Requirements:

  • 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

Additional Information:

Job Posted:
February 18, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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