Internship / Thesis IT – AI and Machine Learning
Original title: Praktikum /
This job is at Drägerwerk AG. You apply to them, not to GoAusbildung.
Start Date
On request
Sector
IT
Salary
€1000 - €1200
Listing data as of November 1, 2026
About this Apprenticeship
Studying is fun – even more so when you can experience theory in practice. At Dräger you contribute your ideas from day one and take responsibility for 'Technology for Life'. In the Corporate Technology & Innovation area you support an interdisciplinary team from Controlling, Production and IT for three to six months in AI- and machine-learning-driven process optimisation. In exchange with your team you develop predictive models and intelligent systems that improve operational efficiency and decision-making processes in various areas. Protecting, supporting and saving lives are the goals that unite us all at Dräger. Find out how well this matches your personal goals.
What You'll Learn
Develop and implement models for trend prediction and optimise and monitor processes Analyse large amounts of data to gain meaningful insights and drive model development Collaborate with cross-functional teams to understand business requirements and provide AI-driven solutions Present results and progress to stakeholders and team members
Requirements
Degree in computer science, data science, (business) mathematics or a comparable course of study from at least the 4th semester, an already obtained bachelor's degree is preferred ideally solid programming skills in Python (such as scikit-learn and pandas) and initial experience with SQL databases desirable knowledge of Apache Kafka, Apache Spark and Databricks is an advantage problem-solving ability and creativity in developing new approaches for complex challenges
What Drägerwerk AG offers
Flexible working hours Mobile work possible Company laptop Individual induction and onboarding Networking events Professional development opportunities and coaching Private leisure and further education programmes Company sports and prevention courses Health centre and fitness studio Discounts at regional fitness studios Subsidised company restaurant Good transport connections & parking spaces Events for employees and their families
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