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We're seeking an experienced ML Engineer to join our Data Science team in Barcelona (Hybrid) to design and develop solutions for training and serving ML models, and Agentic applications. Become a part of our team and help us build the best AI platform possible.
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Work with the Data Science team to design and develop Machine Learning and AI solutions
Participate in the design and implementation of our internal AI platform
Stay up to date with the latest developments in Machine Learning, Artificial Intelligence, and MLOps
Provide internal users with training materials and communicate new developments
Providing guidance and advice, ensure best practices are followed across the data science organization
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Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, Physics, or other quantitative areas)
2+ years of related experience as a Machine Learning or Software engineer
Experience with Python, Java, C++ or any other object-oriented programming language
Overall understanding of the process of creating machine learning models and their life cycle
Knowledge of best practices to automate software development and ML operations; CI-CD, testing, and monitoring
Experience with Jenkins desirable
Familiarity with Agentic application development, and understanding of the general concepts
Actively use AI as part of their day to day work
Experience developing REST APIs and scalable systems
Experience working in cloud platforms, distributed systems and Docker
Familiarity with SQL databases
Written and oral communication skills in English
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Experience with Applied AI Tools:



Demonstrated comfort using practical AI tools such as Gemini, or other AI-powered assistants
Experimentation Mindset: Curiosity and eagerness to explore, experiment with, and integrate emerging AI-driven solutions into workflows
AI-Enhanced Problem Solving: Ability to effectively leverage AI tools to streamline processes, and enhance productivity
Adaptability and Learning Agility: Enthusiastic about continuously learning and quickly adapting to new AI features and capabilities
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Prime Plus membership, competitive salary and benefits package, including versátil benefits, performance-based bonuses, birthday day off, discounts and partnerships, relocation support and premium equipment with role-based selection options and device ownership through our equipment lifecycle program when it reaches its refresh cycle
Learn and grow with free Coursera access, soft skills workshops, tech training, leadership development, and more
Plus, enjoy a great onboarding program
Personalised career paths and the eVOLVE Program will help you discover, grow, and thrive
Internal mobility opportunities let you pursue horizontal career changes and promotions
At eDO, we value flexibility, employee care, and transparency
We offer a hybrid home-office model focused on outcome, not time-in-seat
You'll be able to find the right work-personal life balance that suits you best
Join eDO for after-work events, padel tournaments, parties, and more
Create communities based on your passions, like sports and music
Come to work as you are, with no dress code, and enjoy free fruit, coffee, and tea at our offices
You'll work in an Agile mindset environment with recognition at our core
#J-*-Ljbffr

📌 Ml Engineer In Ai Platform (España)
🏢 Edreams Odigeo
📍 España