T Hub

T Hub - AI Engineer Miejsce pracy: Warszawa Technologies we use Expected Python NLP LLM Operating system Windows Your 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 Our requirements 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 What we offer 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 employee referral program charity initiatives extra leave Benefit Platform Our offer for you: 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). T-Mobile Working at T-Mobile's T Hub will offer you an unique and highly rewarding experience on IT market. As a leader in the telecommunications industry, T-Mobile not only provides a platform to hone your technical skills but also empowers you to be a catalyst for innovation. You'll have the opportunity to work at the forefront of cutting-edge technologies, from 5G to IoT and AI, shaping the future of connectivity. Our commitment to fostering a diverse and inclusive workplace means you'll collaborate with a wide range of talented professionals, learning and growing together. T-Mobile encourages a culture of continuous learning and development, offering mentorship and support to help you thrive in your career. Wszystkie informacje o przetwarzaniu danych osobowych w tej rekrutacji znajdziesz w formularzu aplikacyjnym, po kliknięciu w przycisk "Aplikuj Teraz".