AI Adoption Manager
Role details
Job location
Tech stack
Job description
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 master the technical aspects of AI and effectively train technical teams on how to maximise 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 in-person
Requirements
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 data science teams to identify specific AI skill gaps and training needs. * Staying Current: Continually 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. * Experience with MLOps practices is appreciated. * Ideally, you have contributed to open-source AI/ML projects. * Ideal for highly skilled data scientists or machine learning engineers with
Benefits & conditions
a passion for teaching and empowering others. What's in it for you? The best talent deserves the best benefits. At eDO, we want you to be 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. 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