-Deutsche Telekom offers the position of a ‘Senior Generative AI Expert’ in the department Product Innovation & Customer Experience (PIC):

· You will be a part of the Generative AI center of expertise with the mission of exploring leading-edge Generative AI technologies, to build new products offering superior customer experience and driving internal efficiency. Our goal is to become a leader in our industry and beyond in leveraging the power of Generative AI.

· You bring extensive expertise in Generative AI technologies of 4+ years and an even longer track record in data science, with significant hands-on experience in developing and orchestrating Generative AI models.

· You have significant experience and understanding of large language / transformer models, cloud-based development, as well as a strong attitude of acting fast and being results-driven.

· You have successfully guided more junior experts in developing Generative AI-based solutions and look forward to combining such guidance with own hands-on work on AI models/solutions at Deutsche Telekom.

· You enjoy working together with an international team of senior experts in the field of Generative AI, mobile working flexibility, as well plenty of opportunities for learning and exchanges at both industry and academic events.

WHAT YOUR TASKS WILL BE

· The key tasks will be developing innovative products, services, and internal efficiency solutions based on Generative Artificial Intelligence technologies. With every product and service we build, we aim for significant scale within our potential user base of tens of millions of customers across many countries, or among our 200m+ employees worldwide.

· 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 in close 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 optimization, 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 on both 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 will help us to 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 scientifi

WHICH SKILLS AND QUALIFICATIONS WE EXPECT

· Comprehensive and deep expert knowledge and 4+ years of experience in Generative AI technologies and 7+ 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 long-term experience in multi-cultural environments.

· Excellent communication skills in leading AI 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.

SOME DETAILS ON HARD SKILLS REQUIRED

Deep Learning, Neural Networks and Generative Models:

• A strong understanding of deep learning principles and neural network architectures.

• Knowledge of convolutional neural networks (CNNs), recurrent neural networks (RNNs), and particularly of cutting-edge, large language / transformer models.

• Understanding how to design, train, and optimize/fine-tune these networks.

• Knowledge of training techniques (e.g. backpropagation, optimization algorithms).

Natural Language Processing:

• Text Pre-processing: tokenization, stemming, lemmatization, stop-word removal.
• Text Classification and Sentiment Analysis: Ability to develop and implement algorithms for text classification tasks (i.e.: sentiment analysis, topic classification, or intent recognition).
• Information Retrieval and Extraction: Proficiency in techniques for information retrieval and extraction, including embedding models and respective vector databases, search algorithms, information retrieval models (e.g., TF-IDF, BM25), or entity linking techniques.
• Machine Translation: Familiarity with machine translation techniques, including statistical machine translation (SMT) and neural machine translation (NMT).

· Dialog Systems: Expertise in building conversational AI systems, including chatbots or virtual assistants, that can engage in human-like conversations.

Probability and Statistics:

• A solid understanding of probability theory and statistical.
• Knowledge of probability distributions, sampling techniques, and statistical inference.
• Modelling and manipulating data distributions and generating new samples.

Programming and Data Manipulation:

• Proficiency in programming languages such as Python and data manipulation libraries like NumPy and Pandas.
• Comfortable handling and pre-processing large datasets, as well as implementing and fine-tuning generative models using popular deep learning frameworks such as TensorFlow or PyTorch.

Evaluation and Metrics:

• Ability to evaluate and assess the quality of generated outputs.
• Deep experience with evaluation metrics specific to generative models, such as inception score, Fréchet Inception Distance (FID), or perceptual similarity metrics; inter