Overview
We are a small team in a big company, mainly adopting agile methodology. We provide Data Science solutions for internal customers inside Deutsche Telekom and our skills and solutions are continually in high demand. Therefore, we want to increase the size of our team with additional technical people that know how to process and analyze data so we can serve and satisfy the needs of even more customers.
We are looking for somebody who can work independently, create working solutions quickly, and creatively come up with new ideas, but also knows how to use and where to look for existing solutions. Our project members are situated in Germany, the Czech Republic, Slovakia, and Romania so international cooperation is the daily standard.
Apply and let´s find out more interesting details about the DTSE AI initiative!
Your main accountabilities:
You will be applying Deep learning approaches like (Bi-)LSTM and transformer-based models on our NLP products for internal customers of the Deutsche Telekom group
You will prepare training & evaluation pipelines and apply state-of-the-art Machine Learning approaches to improve processes in Finance (Controlling, Treasury, Accounting), Procurement, HR, and others
You will contribute to designing & implementing prototypes of innovative NN applications in Python
You will cooperate with the business side including your active contribution in customer workshops, meetings, and calls so the ability to explain technical points to business colleagues is a crucial part of this job, as is a consultant’s mindset
You will participate in team brainstorming sessions, code reviews, and pair programming sessions
Depending on the use case, you will have the opportunity to work with a variety of tools and technologies like SAP, Scikit-learn, Keras, Spacy, Docker, Kubernetes, Flask or Tesseract, and BI dashboarding tools like MicroStrategy, Qlik, Tableau, … knowledge of these is helpful
You will have the chance to identify possible use cases for automation and data science, innovative ideas are welcome
Company:
Deutsche Telekom
Qualifications:
To be successful in this role, you should have:
Fluency in written and spoken English, and German would be an advantage
Education in the IT field would be beneficial but not needed
Ideally 3-4 years of experience in Data Science projects (preferably with text data and related language models)
Preferably experience in working with LLMs / generative models
Good programming skills in Python and confidence working with APIs.
Experience with Jupyter Notebook and other IDEs is more than welcome but not necessary
Knowledge of Agile methodology (Scrum, XP, Kanban, etc.)
Courage to ask questions when something is not clear or point out when something seems inefficient to you
Analytical thinking, an affinity for structure, grasping things fast, and working systematically
Ability to develop working solutions quickly and get things done
Level of experience (years):
Mid Career (2+ years of experience)
How to apply:
Please mention NLP People as a source when applying
https://www.linkedin.com/jobs/view/3796162922/?alternateChannel=search&refId=nQZdNb6ROMH5XBCFzct0sA%3D%3D&trackingId=%2BFnMGVREuJWtixvEJXyxTQ%3D%3D
About Deutsche Telekom
Deutsche Telekom is a telecommunications company that offers a range of fixed-network services.
