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Artificial Intelligence (AI) Engineers use algorithms to identify the hidden data structures and relations to build self-learning systems. Their contributions enable mimicking human cognitive tasks and solving the user problems with intelligent solutions.
As an AI Engineer you will use data science, machine learning, and engineering to develop proof-of-concepts based on AI. This pioneering work will be the backbone of the next generation of products and services.
AI Engineers develop and implement artificial intelligence solutions for various business needs. They are collaborating with other team members such as software engineers, product managers, and interaction designers. The role involves tasks such as designing and building AI models, analyzing data, and integrating AI solutions into existing systems and products.
AI Engineers also ensure that the solutions are reliable, scalable, and meet the requirements of the business, while balancing technical feasibility and ethical considerations.
Why should I become an AI Engineer?
AI engineering is an exciting and challenging field to work in. It involves solving complex technical problems and building cutting-edge technologies. It is a rapidly evolving field and there are many opportunities for personal and professional growth as well as for learning new skills. Because it is a fast-growing field there is a high demand for professionals with expertise in this area. Accordingly, well-trained and experienced people are well paid.
How to I become an experienced AI Engineer?
Join DPS! If you already have a background in computer science, mathematics or statistics, as well as skills in programming languages like Python and relevant machine learning libraries, Digital Product School will help you gain all the experience you need to work as part of a cross-functional product team in a fast-paced environment.
Batch#23 - March 10 to May 30, 2025
The application is already closed.
Batch#24 - Sep. 8 to Nov. 28, 2025
Applications open until June 18, 2025
What you will get
Gain hands-on experience as an
AI Engineer in a cross-functional product team.
Receive intense training and support by domain experts and experienced mentors and coaches.
Get insight into design-thinking techniques, agile working methods, and the lean start-up methodology.
Improve your interpersonal skills through working in a diverse team.
Work closely with our industry partners.
Expand your professional network.
Access Europe's largest innovation and entrepreneurship ecosystem.
Work in an inspiring start-up atmosphere in our Entrepreneurship Center at the TUM research campus in Garching.
Be part of an international community of more than 700 forward-thinking alumni.
Get a certificate after successful completion.
Receive up to € 1,000 per month in the form of a scholarship.
What you will do
Build a digital product that solves a real-world challenge.
Drive product discovery and development through exploration and testing of AI use cases and data-driven applications based on audio, video, text, and other sensory data.
Work with real data provided by the partners or open data.
Conduct experiments to validate tech feasibility, user desirability and business viability.
Create user-centered products using AI, machine learning or NLP.
Engineer end-to-end data-driven applications
Grow insights on designers and product manager contributions
Communicate cross-functionally and drive engineering efforts.
The AI-track at Digital Product School focuses on tech leadership for AI solutions, proof of concept and AI proposals that show the great potential of data-driven applications. In addition, you will practice using rapid prototyping tools and platforms such as Hugging Face and PyCaret.
... have a university degree in electrical or computer engineering, computer science or other engineering disciplines with additional training and certification in data science, machine learning, or artificial intelligence.
... have experience and are enthusiastic about working with languages like Python and/or R (C++, JAVA, Scala), and libraries such as NLTK, OpenCV, or TensorFloW.
... have previous experience in several AI application projects. Former hands-on experience with machine learning in production and API would be a bonus.
... possess excellent teamwork skills and are motivated to grow as an awesome team player.
... are a natural problem solver who is passionate about digging into complex problems to devise new approaches that get results.
... have excellent communication skills in English; German would be a plus. You will know how to communicate clearly – verbally and written – and have the ability to build strong relationships between people.
... you can fully commit to DPS during the twelve-week program. No side project, university course, or exam is acceptable.
... are available for 40 h/week during normal office hours.
... can be on-site in Munich for the program and be willing to come to the office at least three days a week.
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Batch#23 - March 10 to May 30, 2025
The application is already closed.
Batch#24 - Sep. 8 to Nov. 28, 2025
Applications open until June 18, 2025
1.
Prepare your CV and cover letter. Fill out and send the application form.
2.
Wait. To be fair and equal to all applicants we wait until the end of the application phase until we send you feedback on your application.
3.
If this stage of your application is successful, we will invite you for an interview call where we will talk about your motivation and qualifications. We will also (try to) answer any questions you have.
4.
Some days after your interview, you will receive a final confirmation. Please be patient as we receive a lot of applications from all around the world.
