Job Description
Praktix is a next-generation education platform redefining how talent is developed by bridging the gap between academia and real-world industry. Operating at the intersection of education, industry, and practical execution, Praktix delivers structured, outcome-driven programs designed to prepare students and professionals for actual career demands — not just theoretical knowledge. Through internships, mentorship, and hands-on projects led by global industry experts, Praktix empowers learners to build real portfolios, gain practical experience, and transition seamlessly into the workforce. By connecting universities, companies, and professionals on a single platform, Praktix creates an ecosystem where learning translates directly into measurable career outcomes. Are you ready to move beyond theory and build real-world AI solutions? Praktix offers a hands-on AI & Machine Learning Internship (3 Months) designed to give students and recent graduates real-world experience in artificial intelligence, machine learning models, and data-driven applications. Developed in collaboration with industry experts in Germany, this program focuses on practical implementation, real datasets, and structured mentorship — ensuring participants build measurable outcomes and industry-relevant skills. Tasks As an AI & Machine Learning Intern, you will: Work on real-world AI challenges, collaborate in structured teams, and build machine learning models that simulate real industry workflows. You will gain hands-on experience in developing intelligent systems, working with real datasets, and applying AI tools used in modern companies. This internship is designed to help you build strong technical confidence, develop a portfolio of AI-based projects, and prepare for future roles in data science, machine learning, and AI engineering. Requirements Technical Skills: * Basic understanding of Python programming * Familiarity with data analysis concepts * Interest in Machine Learning and Artificial Intelligence * Basic knowledge of libraries such as Pandas, NumPy, or Scikit-learn is a plus * Understanding of statistics fundamentals is an advantage -- Soft Skills: * English Level: B2 or higher * Strong willingness to learn and explore new technologies * Problem-solving mindset * Ability to work independently and collaboratively * Good communication and time-management skills Program Fee: 3-Month Internship: €1,399 Special Limited Offer: Participants who register before the end of April will receive an exclusive 20% discount on the program fee. Benefits * Machine Learning fundamentals and model building * Data preprocessing and feature engineering * Model evaluation and performance improvement * Working with real-world datasets * AI workflow development * Portfolio project development aligned with industry standards