ML Engineer (Hybrid)

Edreams; Cataluña; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid home-office model

Relocation support

Device ownership

Job summary

eDreams ODIGEO is seeking an experienced ML Engineer to join the Data Science team in Barcelona (Hybrid). You will design and develop ML and AI solutions, contribute to an internal AI platform, and share knowledge across the data science organization.

You will stay current with ML/AI/MLOps developments, create training materials, and help ensure best practices. The role offers a hybrid work model and opportunities to grow within a leading travel tech company.

Qualifications

• 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 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.

Responsibilities

• Design and develop Machine Learning and AI solutions with the Data Science team.
• Contribute to the design and implementation of the internal AI platform.
• Stay up to date with ML/AI/MLOps developments and best practices.
• Provide training materials and communicate new developments to internal users.
• Advise on best practices and ensure consistency across the data science organization.

Skills

Python

Java

C++

REST APIs

Cloud platforms

Docker

SQL databases

English

JavaScript

CI/CD

Jenkins

Education

Degree in quantitative field (CS/Engineering/Math/Stats/Physics)

Tools

Jenkins

Job description

ML Engineer (Hybrid)

As you contemplate your future, you might be asking yourself, " What's the next step?’’ Start your journey with us!

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. As part of your role, you will also be responsible for spreading knowledge within the Data Science Organization and ensuring best practices.If you're ready to soar, we're ready to take you there.

Why eDreams ODIGEO

Join the world's leading travel subscription platform.

• We pioneered Prime, the first and world’s leading travel subscription programme since launching in 2017.
• Millions of Prime members every year across multiple markets.
• 5 brands: eDreams, GO Voyages, Opodo, Travellink, and the metasearch engine Liligo
• 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.
• Diversity is our strength that’s why our eDOers are coming from different nationalities from all continents – 99% permanent contracts

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.

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 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.

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 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.

Preferred Qualifications

• 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.

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!

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.