Data Science & AI Training Specialist or AI Skills Lead

Join the worlds leading travel subscription platform and one of the largest ecommerce 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 1700 employees More than 60 different nationalities from all continents 99 permanent contracts 36 average age

Were the worlds leading travel subscription platform and one of the largest ecommerce businesses in Europe We are a tech company revolutionising the travel booking experience through our consumer insight innovative technology market leadership and Prime the worlds first travel subscription program

For our Data Science team we are looking for an AI Skills Leadto 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 inperson and virtual training sessions adapting your teaching style to suit the needs of experienced technical audiences

Content Creation :

Develop highquality 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 uptodate 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 Masters 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 AIML concepts algorithms and frameworks eg TensorFlow PyTorch scikitlearn

Strong programming skills in languages commonly used in data science eg 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 fastpaced agile environment

A passion for teaching and empowering others to learn new technologies

We appreciate experience with MLOps practices

Ideally you have contributed to opensource AIML 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

Whats 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 performancebased 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 promotionsYour Wellbeing is our priority Embrace Freedom and Flexibility

At eDO we value flexibility employee care and transparency We offer a hybrid homeoffice model focused on outcome not timeinseat Youll be able to find the right workpersonal life balance that suits you bestWork hard party hard We believe in having fun and connecting with colleagues

Join eDO for afterwork 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 openminded teams support high performance learning and growth Youll work in an Agile mindset environment with recognition at our core

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

We are an equalopportunity 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 Dont meet every requirement? If youre excited about this role but do not feel your experience aligns perfectly with all the requirements we strongly encourage you to apply nevertheless