ML Engineer
hace 4 semanas
As you contemplate your future, you might be asking yourself, what’s the next step? Start your journey with usAs 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 ODIGEOJoin the world’s leading travel subscription platform and one of the largest e-commerce businesses in Europe.20 million customers – 44 markets – 5 brands – 5.4M members in Prime16.2 million bookings FY23 – More than 50,000 bookings per day – 100 million daily user searches8 Billion ML predictions per day – Up to 1.8 billion daily AI predictions1400 employees – More than 50 different nationalities – 99% permanent contracts – 36.3 average ageWe’re a leading travel 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 TasksAs 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: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;Work with the Data Science team to design and develop Machine Learning solutions;Provide internal users with training materials and communicate new developments;By providing guidance and advice, ensure best practices are followed across the data science organization.What you need to succeed:Job RequirementsBring 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 programming language;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 System Design.Familiarity with SQL databases;Experience with Cloud and Docker;Overall understanding of the process of creating machine learning model and their life cycle;Written and oral communication skills (in English).What’s in it for you?The best talent deserves the best benefitsAt 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 and, even better, keeping it for free after 3 years.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 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.Your Well-being is our priority. Embrace Freedom and Flexibility 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.Work hard, party hard We believe in having fun and connecting with colleagues 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.Enjoy a dynamic and healthy environment Be innovative, take risks, and share your ideas. Our diverse and open-minded teams support high performance, learning, and growth. You’ll work in an Agile mindset environment with recognition at our core.If you are ready for a career opportunity with unmatched benefits, continuous learning, and a supportive work-life balance, look no further Take your career to new destinations by applying now and help our diverse, inclusive, and passionate team shape the future of travel.Apply nowWe are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. Our people are the key to our success. Each one of them is unique in their own way and the respect for their uniqueness is and will always be a passion and motivation.
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