Jobs in AI
From chatbot through to fiber rollout: Deutsche Telekom uses Artificial Intelligence (AI) to make everyday life easier as well as more effective and secure. For customers, businesses, and employees.
We live responsibility and set ethical “guide rails” to AI
Artificial intelligence (AI) needs a framework. We have defined this framework with our nine self-binding guidelines.
They describe how we at Deutsche Telekom should use AI and how we should develop our AI-based products and services for our customers and business cases in the future. The basic idea is that AI is initially just a tool which is inherently neutral. It's up to us to use AI in positive ways.
Platform for AI developers
Developing artificial intelligence with the help of Open Telekom Cloud.
Deutsche Telekom provides AI developers with the ModelArts platform from the Open Telekom Cloud. A free trial of the beta version allows users to try out the platform. Using the auto learning function, developers can train their AI models with one click and use additional programs such as Tensorflow, PyTorch, Mindspore, MXNet, and Caffe.
Current AI projects
AI and quantum technologies
As part of the PlanQK project (platform and ecosystem for quantum-assisted artificial intelligence), Deutsche Telekom is researching and testing potential use cases of quantum-assisted AI from the perspective of a network operator. The project, which is a consortium of 15 partners, aims to develop a vendor-independent platform and an associated ecosystem for quantum-assisted artificial intelligence.
Predictive maintenance in industry
Predictive maintenance is one of the most popular application areas of predictive technologies. From the – ideally – large amount of process data collected in the production plant, an algorithm generates a prediction of expected disturbances, such as the failure of machine components. System downtimes can be shortened and the procurement of required spare parts can be accelerated as a result.
Restart your career with algorithms
The New Skilling Academy gives employees an opportunity to develop and expand their skill set in areas like software, AI, and data science. In our interview, Markus van Ballegooy shares his experience of participating in a six-months internal training program on AI. This included learning the programming language Python, which then enabled him to develop and use algorithms.
Career opportunities in AI
Our AI team is an international and diverse group of experts working closely with the operational business units. Do you have experience with agile methods such as SAFe and Design Thinking? Do you have expertise in areas such as DevOps/MLOps, the API-first approach, Deep Learning, AI technologies as well as API design and cloud native developments? Become one of us and help us shape the AI landscape of the future.
