ML Engineer

As you contemplate your future, you might be asking yourself, what’s the next step? Start your journey with us As part of the team, you will design and develop solutions for training and serving ML models. Become a part of our team and help us build the best ML platform possible. As part of your role, you will also be responsible for spreading knowledge within the Data Science Organization and ensuring best practices. Why eDreams ODIGEO Join the world’s leading travel subscription platform and one of the largest e-commerce businesses in Europe. Millions of customers every year across 44 markets – 5 brands – 7M members in Prime. More than 100 million searches per day – Up to 6 billion daily AI predictions. Over 1,600 employees – More than 60 different nationalities from all continents – 99% permanent contracts – 36 average age We’re the world’s leading travel subscription platform and one of the largest e-commerce businesses in Europe. We are a tech company revolutionising the travel booking experience through our consumer insight, innovative technology, market leadership, and Prime, the world’s first travel subscription program. What you will do: The Role’s Key Responsibilities and Tasks. As an eDOer, you will have clear objectives, great challenges and a clear overview of how your work contributes to the global company project and its customers. As a ML Engineer in the Data Science team you will be in charge of: Work with the Data Science team to design and develop Machine Learning solutions; Participate in the design and implementation of our internal machine learning platform; Stay up to date with the latest developments in Machine Learning 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. What you need to succeed: Job Requirements. Bring your unique perspective, speak up, and offer disruptive solutions. You’ll have the opportunity to learn and grow while making a real impact on our team. Here’s what you need to succeed: 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. Javascript and / or frontend experience is a plus; Overall understanding of the process of creating machine learning model and their life cycle; Knowledge of best practices to automate software development and ML operations; CI-CD, testing, and monitoring. Experience with Jenkins desirable; 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. Preferred Qualifications Experience with Applied AI Tools: Demonstrated comfort using practical AI tools such as GitHub Copilot, ChatGPT, or other AI-powered coding assistants. Experimentation Mindset: Curiosity and eagerness to explore, experiment with, and integrate emerging AI-driven solutions into software development workflows. AI-Enhanced Problem Solving: Ability to effectively leverage AI tools to debug code, streamline development processes, and enhance productivity. Adaptability and Learning Agility: Enthusiastic about continuously learning and quickly adapting to new AI features and capabilities. Collaboration with AI: Experience or interest in collaborating closely with AI tools as “pair programmers” to complement traditional software development practices. What’s in it for you? The best talent deserves the best benefits At eDO, we want you to be a part of our success story and great culture. Here’s what we offer: A rewarding Compensation package Prime Plus membership, competitive salary and benefits package, including flexible benefits, performance-based bonuses, birthday day off, discounts and partnerships, relocation support and the possibility of choosing your equipment. Continuous learning to fuel your growth and explore new horizons Learn and grow with free Coursera access, soft skills workshops, tech training, leadership development, and more. Plus, enjoy a great onboarding program. Grow opportunities to empower your career, and unleash your potential