The key tasks will be developinginnovative products, services, and internal efficiency solutions based onGenerative Artificial Intelligence technologies. With every product and servicewe build, we aim for significant scale within our potential user base of tensof millions of customers across many countries, or among our 200m+ employeesworldwide.
In building such products and services, youwill be in charge of leveraging our outstanding wealth of customer and otherdata, in a secure, safe, and privacy-compliant way — along our vision ofhuman-centered technology.
You will be a pivotal part of thespear-heading Generative AI development team of Deutsche Telekom, working inclose cooperation with other key AI experts as well as subject matter expertsof areas across the company building product and services with and for thelatter.
You will be expected to provide keyguidance on how to use cutting-edge Generative AI technologies in buildingtelco-grade, strongly scaling products, and to efficiently execute the AI /data science components of such product/services developments. Those willinclude: Generative AI model/architecture selection, training/fine-tuning data setdesign and preparation, training pipeline design/setup, training/fine-tuningexecution, meta-parameter optimisation, design and development of modelorchestration 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 ownGenerative AI model development/enhancement. We believe in in the success of asound mixture of both: (1) using leading-edge external technology ensures speedand sharpens our understanding of the space; (2) building our own, likely opensource-based, Generative AI models will be pivotal for a number of use cases, andhelps us mitigate potential risks for our company and its customers.
You will work in agile, empowereddevelopment 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 keytechnical / data science guidance on Generative AI and AI more broadly – incl.to senior management -- to help building the key brain trust on Generative AIin DT and the broader telco industry.
Deutsche Telekom is supporting AI / datascience experts in external scientific publication as long as Deutsche Telekom proprietary/confidentialknowledge and our brand are safeguarded.
Which Skills And Qualifications We Expect
Comprehensive and deep expert knowledgeand 2+ years of experience in Generative AI technologies and 4+ years ofexperience in data science, with significant and extended hands-on experiencein developing Generative AI models and potentially supportive/orchestratingtechnologies of the latter
Ideally extensive experience in buildingscaling products based on Generative AI technologies
Solid experience in software development,open source programming languages
Strong knowledge of cloud technologieslike AWS, Azure etc.
Experience in managing stakeholderexpectations by being highly flexible as well as driving proactive and reactivecommunication. Being able and motivated to facilitate difficult discussionswithin the team or with diverse senior stakeholders
Extensive and longterm experience inmulti-cultural environments
Excellent communication skills in leadingAI technology/strategy discussions in development teams and in meetings with seniormanagement. Should be able to explain complex topics in “crisp simple” languageto top management
Strong community engagement in opensource is highly appreciated
Strongtrack record working in virtual settings across globally distributed teams, strong social andinterpersonal/intercultural skills
Ableto act quickly, set new technical directions, empower the team to makedecisions and aid the team with smart but fast decisions and engageinfocusedexperimentation.
Results Driven -confident, thrives on hard work and consistent challenge, and is quick onhis/her feet. Monitors quantitative progress measures and acts quickly ondeviations fromplan
Creative thinking to pushthe 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 ethicalconsiderations ((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 orsimilar highly welcome
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