Facilitating open-ended group tutoring sessions via Zoom for learners taking the Machine Learning specialisation (between May and August 2026, up to 4 hours a week)
Supporting learners with understanding core topics in Machine Learning (ML) and LLMs with Python technologies: from supervised and unsupervised learning with scikit-learn, to PyTorch for Deep Learning, as well as setting up tools such as Hugging Face Hub, GitHub and Llama 3
Aligning advice with course content on DataCamp (full access provided) and Thrive’s overall learning objectives
Providing formative (interim mid-term) structured feedback on project work assignments and applied projects designed by the Applied AI Institute for Europe
Collaborating closely with the Learning Designer to align session delivery with curriculum goals
Providing lighter (1h/week) support between September and October, including evaluation of top learner projects and optional attendance at in-person graduation event (Berlin)
Contributing to continuous improvement of the Thrive program and ML specialization module through open feedback and constructive criticisms

Active and up-to-date skills in industry-standard tools for Python programming for data science, machine learning, NLP and other applied AI use cases
Familiarity with: scikit-learn, PyTorch, Hugging Face
Experience working with Git version control for data projects
Professional experience in applying Machine Learning and/or AI Engineering principles in any non-academic sector (corporate, government, healthcare)
Strong communication skills in English (C1+)
Nice-to-have; Prior teaching, mentoring, or tutoring experience, particularly in the technical domain
Comfortable working with diverse, international learning community
Intercultural understanding and sensitivity

Machine Learning Tutor – Freelance

Key skills