You can look forward to working in our Network Analytics Team in Group Technology consisting of artificial intelligence (AI) and Machine Learning (ML) experts developing advanced analytical solutions for the Deutsche Telekom Group.
Your daily work will be focused on analyzing data, training models, developing automated tools using ML models, and working on challenging use cases. You will work alongside software engineers and other ML engineers.
This role requires the flexibility to travel abroad a minimum of three times per year to attend client meetings, conferences, or team off-sites (typically 3-5 days per trip).
responsibilities :
Be a strong and transparent communicator able to work with customers to set goals, identify risks and prerequisites, report progress, present results and seek feedback.
Prepare, explore and analyze data for model training using Python
Train and test AI/ML models using various libraries and fine-tune their performance ready for deployment
Work with an on-premises, Linux-based GPU computing platform and cloud-based instances, mainly GCP
Enjoy working in an enriching international environment with a good work-life balance and opportunities to travel and grow
Have reached English language proficiency B2 or above. German language skills would be beneficial but not essential
requirements-expected :
You have several years’ experience delivering successful projects in your field (at least 4 years)
Excellent coding ability in Python
Ability to integrate models into production systems using APIs
Deep Learning and Machine Learning project experience covering numerous algorithms and models: Application of one or more of e.g. LGBM, XGBoost, GNN and / or LLMs, Leverage LLMs from frameworks such as Hugging Face, ML techniques like forecasting, regression, classification, anomaly detection, image object detection, text classification, text generation, root cause analysis, timeseries modelling, Set-up and use of vector databases
Familiarization with Natural Language Processing (NLP)
LLM Integration & Prompt Engineering
Some Agentic AI development Experience (nice to have)
Development and deployment of software solutions incorporating specific AI or ML-based models and techniques
Data handling techniques in e.g. Polars, Pandas, NumPy etc.
AI/ML algorithms, libraries, techniques, pipelines, and architectures
Familiarization with one of PyTorch and TensorFlow
Experience with deep Exploratory Data Analysis and result reporting
Software design & development techniques incl. clean code, reviews, testing and deployment (a must!)
Gitlab repositories and pipelines
offered :
Employment contract
Additional day off on the occasion of birthdays/namedays
Medical package and life insurance
Benefit platform - you choose what you benefit from
Access to training platforms to improve your knowledge
I know Talent - training or money for referring friends to work ?!
Besides, with us you can count on access to our products and services at preferential terms and benefits, which you will read about below
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
life insurance
flexible working time
corporate products and services at discounted prices
integration events
mobile phone available for private use
no dress code
parking space for employees
extra social benefits
sharing the costs of tickets to the movies, theater
holiday funds
birthday celebration
sharing the costs of a streaming platform subscription
