Data Science and AI Training Specialist
Role details
Job location
Tech stack
Job description
create engaging curricula, workshops, and learning materials focused on practical AI applications for software engineers. Topics include machine learning fundamentals, deep learning, natural language processing, computer vision, and responsible AI practices. * Delivery of Training: Lead and deliver in-person and virtual training sessions, adapting to 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 DS teams to identify AI skill gaps and training needs. * Staying Current: Stay up-to-date with the latest AI/ML advancements and related technologies. * Community Building: Foster a community of AI learners within the engineering organization and encourage knowledge sharing. * Measuring Impact: Define and track metrics to evaluate training effectiveness and identify improvement areas. What you will need to succeed
Requirements
- Advanced degree (Master''s or PhD) in Computer Science, Data Science, Artificial Intelligence, or related field. * Familiarity with the European tech landscape and relevant industry trends. * Typically 5+ years of experience in data science, ML engineering, or related role. * Deep understanding of core AI/ML concepts, algorithms, and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). * Strong programming skills in Python and other languages used in data science. * Excellent communication and presentation skills with the ability to explain complex topics to technical audiences. * Experience in designing and delivering technical training programs or workshops is highly desirable. * Ability to work independently and collaboratively in a fast-paced, agile environment. * Passion for teaching and empowering others to learn new technologies. * Experience with MLOps practices is appreciated. Open-source AI/ML contributions are a plus. What's in it
Benefits & conditions
for you? * Prime Plus membership, competitive salary and benefits package, flexible benefits, performance-based bonuses, birthday day off, discounts and partnerships, relocation support, and equipment to keep after 3 years. * Continuous learning with free Coursera access, soft skills workshops, tech training, leadership development, and a strong onboarding program. * Personalised career paths and internal mobility opportunities through the eVOLVE Program; emphasis on well-being, flexibility, and work-life balance. * Hybrid home-office model focused on outcomes; a culture that values innovation, risk-taking, and idea sharing. * Social activities and communities (after-work events, sports, music, etc.) and a dress code-free environment with free fruit, coffee, and tea at offices. We are an equal-opportunity employer and value diversity. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, or