Join the world’s leading travel subscription platform and one of the largest e-commerce businesses in Europe.
Millions of customers every year – 44 markets – 5 brands – 7M+ members in Prime
More than 100 million searches per day – Up to 6 billion daily AI predictions[e1]
Over 1,700 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.
For our Data Science team, we are looking for an AI Skills Lead to empower our Advanced and Senior Software Engineers to unlock the full potential of Artificial Intelligence within their roles. As our AI Skills Lead, you will be instrumental in driving AI adoption and innovation across our engineering teams. You will achieve this by designing, developing, and delivering comprehensive training programs that equip our experienced engineers with the knowledge and skills to effectively leverage AI technologies. The ideal candidate will be able to master the technical aspects of AI and effectively train technical teams on how to maximize the potential of AI. This is a unique opportunity to make a significant impact on our product development and engineering capabilities by fostering a culture of AI fluency.
What you will do:
Training Program Development:
Design and create engaging and effective training curricula, workshops, and learning materials focused on practical AI applications for software engineers. This includes topics such as machine learning fundamentals, deep learning concepts, natural language processing, computer vision, and responsible AI practices.
Delivery of Training:
Lead and deliver both in-person and virtual training sessions, adapting your teaching style to suit the needs of experienced technical audiences.
Content Creation:
Develop high-quality learning resources, including documentation, code examples, exercises, and assessments.
Needs Assessment:
Collaborate with engineering and the DS teams to identify specific AI skill gaps and training needs.
Staying Current:
Continuously stay up-to-date with the latest advancements in AI, machine learning, and related technologies.
Community Building:
Foster a community of AI learners within the engineering organization, encouraging knowledge sharing and collaboration.
Measuring Impact:
Define and track key metrics to evaluate the effectiveness of training programs and identify areas for improvement.
What you will need to succeed:
Advanced degree (Master’s or PhD) in Computer Science, Data Science, Artificial Intelligence, or a related field.
Familiarity with the European tech landscape and relevant industry trends.
Proven experience (typically 5+ years) in a data science, machine learning engineering, or related role.
Deep understanding of core AI/ML concepts, algorithms, and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Strong programming skills in languages commonly used in data science (e.g., Python).
Exceptional communication and presentation skills, with a demonstrated ability to explain complex technical topics clearly and concisely to technical audiences.
Experience in designing and delivering technical training programs or workshops is highly desirable.
Ability to work independently and collaboratively within a fast-paced, agile environment.
A passion for teaching and empowering others to learn new technologies.
We appreciate experience with MLOps practices.
Ideally you have contributed to open-source AI/ML projects.
If you are a highly skilled data scientist or machine learning engineer with a passion for teaching and empowering others, this role is for you!
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.
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.
Wanna take a peek into what it’s like to work at eDO?
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. Don’t meet every requirement? If you’re excited about this role but do not feel your experience aligns perfectly with all the requirements we strongly encourage you to apply nevertheless.
