ML Engineer

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.

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[e1]
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. We pioneered Prime, the first and largest travel subscription programme, which has topped over 7.7 million members since launching in 2017. Prime members are subscribed to global travel, gaining access to a comprehensive multi-product offering for all their travel needs—including hotels, rail, flights, dynamic packages and car rental, among others— compounded by industry-leading flexibility features and exclusive, member-only benefits. This entire Prime experience is powered by a proprietary, industry-leading AI platform that delivers a smarter, hyper-personalised service and comprehensive travel experience globally to its members. 

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 premium equipment with role-based selection options and device ownership through our equipment lifecycle program when it reaches its refresh cycle.
  
• 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.
  

Wanna take a peek into what it's like to work at eDO? Follow us on LinkedIn and discover more about life at eDO

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 now

We 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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