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Key Responsibilities
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 in 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
Competence Profile
Language: Fluent written and spoken English, German skills would be an advantage Education in the IT field would be beneficial More than 4 years working experience with Data Science projects, preferably with text data and related language models Preferably you have experience in working with LLMs / generative models You are good at programming in Python and are confident of working with APIs.
We work with Jupyter Notebook and other IDEs. Experience with these tools is more than welcome but not necessary You are aware of and willing to apply Agile methodology (Scrum, XP, Kanban, etc.) You are not afraid to ask questions when something is not clear or point out when something seems inefficient to you You are an analytical thinker, have an affinity for structure, grasp things fast and work systematically You can develop working solutions quickly and you get things done
Interpersonal Skills
Proactivity towards customer service is essential.
Flexible and responsive to changing work patterns and demands
A thorough and methodical approach to work
Highly developed skills in interpersonal communication
Knowledge sharing – active contributor.
Benefits
Motivational financial package
Meal tickets
Medical insurance
Opportunities to grow and develop in a start-up environment
Dynamic and multicultural working environment
Great training opportunities
DTSE-RO is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decision at DTSE-RO are based on business needs, job requirements and individual qualifications, with no regard to race, color, religion or belief, national, social or ethnic origin, sex, age, physical, mental or sensory disability, sexual orientation and gender identity.
DTSE-RO will not tolerate discrimination or harassment based on any of these characteristics.
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By submitting your application, you consent to your data being processed electronically, including by third parties. Data is only passed on to HR service providers that have been carefully selected by Deutsche Telekom AG.
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