AI Engineer

• Full-Lifecycle AI Development: Manage the entire journey of an AI solution, from initial problem-solving and data cleaning to building production-ready systems
• Cutting-Edge Modeling: Implement a wide range of algorithms—from traditional statistical optimization and predictive modeling (supervised/unsupervised) to advanced Generative AI using LLMs and Transformers
• Industrialization & AIOps: Transition models from local environments to the cloud using an engineering mindset. You will ensure systems are scalable and reliable by applying AIOps methodologies
• Cloud Mastery: Work across the 'Big Three' (AWS, GCP, and Azure) and leverage specialized platforms like Databricks, SageMaker, and Vertex AI to handle large-scale data science needs
• Strategic Insight & Communication: Translate complex datasets into actionable business insights. You will act as a bridge between technical data and client needs, presenting findings that solve real-world challenges
• Collaborative Deployment: Work in synergy with Data Engineers to integrate models into live systems, ensuring they are not just 'smart' but operational

• Master’s degree in a STEM field (Computer Science, Engineering, Mathematics, Statistics, Data Science, or related)
• Recent graduates are welcome, even with limited professional experience
• Professionals with up to 2–3 years of experience in AI / ML / Data Science are also a strong fit
• Proficiency in Python and its ecosystem (NumPy, Pandas, scikit-learn)
• Familiarity with Git, virtual environments, and SQL/NoSQL databases
• Understanding of core ML concepts (regression, classification, clustering, dimensionality reduction)
• English at a B2 level (this will be tested during the interview)

Spanish is a plus

• Continuous Growth & Learning: Access our Internal Academies for 80 hours of initial training, followed by ongoing coaching and support for top-tier certifications (AWS, Snowflake, Google BigQuery, etc.)
• A Meritocratic Ecosystem: semi-annual performance reviews to discuss your achievements, new challenges, and salary adjustments based on your results
• High-Impact Projects: From Day 1, you’ll be part of a team implementing real-world AI, deep learning, and predictive analytics for global industry leaders across multiple sectors
• Young & International Culture: Join a diverse, inclusive, and energetic team with an average age under 30, where you’ll rub shoulders with top AI experts and enjoy opportunities for international travel
• Flexibility & Work-Life Balance: We embrace Smart Working (hybrid) and provide financial support for your home office
• Stability & Purpose: We offer a permanent contract because we want you to grow with us long-term in an environment that celebrates creativity and diversity