T Hub

T Hub - AI EngineerMiejsce pracy: WarszawaTechnologies we useExpectedPythonNLPLLMOperating systemWindowsYour responsibilitiesBe 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 PythonTrain and test AI/ML models using various libraries and fine-tune their performance ready for deploymentWork with an on-premises, Linux-based GPU computing platform and cloud-based instances, mainly GCPEnjoy working in an enriching international environment with a good work-life balance and opportunities to travel and growHave reached English language proficiency B2 or above. German language skills would be beneficial but not essentialOur requirementsYou have several years’ experience delivering successful projects in your field (at least 4 years)Excellent coding ability in PythonAbility to integrate models into production systems using APIsDeep 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 databasesFamiliarization with Natural Language Processing (NLP)LLM Integration & Prompt EngineeringSome Agentic AI development Experience (nice to have)Development and deployment of software solutions incorporating specific AI or ML-based models and techniquesData handling techniques in e.g. Polars, Pandas, NumPy etc.AI/ML algorithms, libraries, techniques, pipelines, and architecturesFamiliarization with one of PyTorch and TensorFlowExperience with deep Exploratory Data Analysis and result reportingSoftware design & development techniques incl. clean code, reviews, testing and deployment (a must)Gitlab repositories and pipelinesWhat we offerEmployment contractAdditional day off on the occasion of birthdays/namedaysMedical package and life insuranceBenefit platform - you choose what you benefit fromAccess to training platforms to improve your knowledgeI 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 belowBenefitssharing the costs of sports activitiesprivate medical caresharing the costs of foreign language classessharing the costs of professional training & courseslife insuranceflexible working timecorporate products and services at discounted pricesintegration eventsmobile phone available for private useno dress codeparking space for employeesextra social benefitssharing the costs of tickets to the movies, theaterholiday fundsbirthday celebrationsharing the costs of a streaming platform subscriptionemployee referral programcharity initiativesextra leaveBenefit 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-MobileWorking 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".