Senior Generative AI expert (REF961M)
- Full-time
- Location: Remote from Slovakia
- Company: Deutsche Telekom IT and Telecommunications Slovakia
- Language: English
Company Description
Our brand Deutsche Telekom IT Solutions Slovakia entered the life of Košice region in 2006 under the name of T-Systems Slovakia and ever since has been inextricably linked with the region when became one of the founding members of Košice IT Valley. We have managed to grow from scratch to the second largest employer in the eastern part of the country with more than 3900 employees. Our goal is to proactively find new ways to improve and continuously transform into the type of company providing innovative information and communication technology services.
Job Description
Deutsche Telekom offers the position of a Senior Generative AI Expert in the department Product Innovation & Customer Experience (PIC) of the board area Technology & Innovation.
We are deeply convinced Generative AI has tremendous transformative potential across many areas of our business – both in customer-facing and internal ones. We will help tackle this huge opportunity with a strong Generative AI center of expertise within our board area Technology and Innovation, driving change across the company in tight cooperation with our business units. The objective of this center of expertise is not only to deeply understand and work with leading-edge 3rd party Generative AI technologies to build new products with superior customer experience and enhance internal efficiency. We will also build our own strong foothold and technology in this space, i.a. by leveraging Open Source developments.
The candidate will be part of a strong AI expert team that is the key driver of this development and will help DT meet its objective of becoming a leader in our industry and beyond in leveraging the power of Generative AI – in an ethical and safe way.
WHAT WILL YOU DO?
- 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.
Qualifications
YOU WILL SUCCEED IF YOU :
- Are 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.
- Have ideally extensive experience in building scaling products based on Generative AI technologies.
- Have solid experience in software development, Open Source programming languages.
- Have strong knowledge of cloud technologies like AWS, Azure etc.
- Have 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.
- Have extensive and long-term experience in multi-cultural environments.
- Have 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.
- Have 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.
- Are 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 on his/her feet. Monitors quantitative progress measures and acts quickly on deviations from plan.
- Are creative thinking to push the envelope of Generative AI model optimization and products (e.g. novel architectures, loss functions, or training techniques).
- Have ability and drive to balance AI and product development with ethical considerations (e.g. understanding potential biases, fairness issues, privacy concerns, and societal impacts).
- Speak English fluently on C1 level
- Have technology education: Ideally mathematical, natural science, and/or engineering university degree; PhD in machine learning or similar highly welcome.
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; interpret and analyze these metrics.
Additional Information
WHY SHOULD YOU CHOOSE US?
We believe in balance between work and personal life. An attractive and extensive work-life balance portfolio guarantees lasting motivation for employees and thus a better quality of life, promotes physical and mental well-being and contributes to a positive work environment. All this with the aim of providing more freedom in reconciling work, career growth, private life and individual lifestyle. Therefore we offer to our employees over 25 different benefits to improve their personal and professional life in these areas:
- Financial benefits
- Benefits with focus on learning and development
- Benefits with focus on health and sport
- Benefits with focus on family and work – life balance
- Other benefits
For more information about our benefits click to Benefits
Salary
Final salary is negotiable.
We are offering base salary depending on seniority level and previous experience of candidate. In addition to base salary we provide variable part and other financial benefits.
Base salary will not be lower than 2500 € /brutto.
Additional information
* Please be informed that our remote working possibility is only available within Slovakia due to European taxation regulation.