Lead Data Scientist

What Your Tasks Will Be

• In building such products and services, you will be in charge of leveraging our outstanding wealth of customer and other data, in a secure, safe, and privacy-compliant way — along our vision of human- centered technology.
• You will be a pivotal part of the spear-heading Generative AI development team of Deutsche Telekom, working inclose cooperation with other key AI experts as well as subject matter experts of areas across the company building product and services with and for the latter.
• You will be expected to provide key guidance on how to use cutting-edge Generative AI technologies in building telco-grade, strongly scaling products, and to efficiently execute the AI /data science components of such product/services developments. Those will include: Generative AI model/architecture selection, training/fine-tuning data set design and preparation, training pipeline design/setup, training/fine-tuning execution, meta-parameter optimisation, design and development of model orchestration technology (using Langchain or similar technologies) for e.g.non-parametric knowledge retrieval and tool access, testing, etc.
• You will build products/services based onboth cutting-edge external Generative AI technology and be responsible for own Generative AI model development/enhancement. We believe in the success of a sound mixture of both: (1) using leading-edge external technology ensures speed and sharpens our understanding of the space; (2) building our own, likely open source-based, Generative AI models will be pivotal for a number of use cases, and helps us mitigate potential risks for our company and its customers.
• You will work in agile, empowered development teams in close synch with software engineers, product owners, customer experience and subject matter experts, amongst others.
• You will act as a trusted advisor for key technical / data science guidance on Generative AI and AI more broadly – incl. to senior management -- to help building the key brain trust on Generative AI in DT and the broader telco industry.
• Deutsche Telekom is supporting AI / data science experts in external scientific publication as long as Deutsche Telekom proprietary/confidential knowledge and our brand are safeguarded.
  

Which Skills And Qualifications We Expect

• Comprehensive and deep expert knowledge and 2+ years of experience in Generative AI technologies and 6+ years of experience in data science, with significant and extended hands-on experience in developing Generative AI models and potentially supportive/orchestrating technologies of the latter
• Ideally extensive experience in building scaling products based on Generative AI technologies
• Solid experience in software development, open source programming languages
• Strong knowledge of cloud technologies like AWS, Azure etc.
• Experience in managing stakeholder expectations by being highly flexible as well as driving proactive and reactive communication. Being able and motivated to facilitate difficult discussions within the team or with diverse senior stakeholders
• Extensive and longterm experience in multi-cultural environments
• Excellent communication skills in leadingAI technology/strategy discussions in development teams and in meetings with senior management. Should be able to explain complex topics in “crisp simple” language to top management
• Strong community engagement in open source is highly appreciated
• Strong track record working in virtual settings across globally distributed teams, strong social and interpersonal/intercultural skills
• Able to act quickly, set new technical directions, empower the team to make decisions and aid the team with smart but fast decisions and engage in focused experimentation.
• Results Driven -confident, thrives on hard work and consistent challenge, and is quick onhis/her feet. Monitors quantitative progress measures and acts quickly on deviations fromplan
• Creative thinking to push the envelope of Generative AI model optimisation and products (e.g. novel architectures, loss functions, or training techniques)
• Ability and drive to balance AI and product development with ethical considerations ((e.g. understanding potential biases, fairness issues, privacy concerns, and societal impacts
• Fluency in English is a must.
• Technology education:Ideally mathematical, natural science, and/or engineering university degree; PhD in machine learning or similar highly welcome