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T Hub - AI Engineer
  • Warsaw
T Hub - AI Engineer
Warszawa, Warsaw, Masovian Voivodeship, Polska
T-Mobile
5. 9. 2025
Informacje o stanowisku

technologies-expected :


  • Python
  • NLP
  • LLM
  • Pandas
  • NumPy
  • PyTorch

responsibilities :


  • You should be a talented, motivated and enthusiastic individual keen to understand complex technical problems and apply your knowledge and skills to deliver customers’ requirements. Above all, you should enjoy working in a dynamic team and should be passionate to deliver results within the team. Ideally, you show initiative and have “can do” attitude.
  • You will:
  • 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

requirements-expected :


  • Essential skills for this position will cover:
  • 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 LLMsLeverage LLMs from frameworks such as Hugging FaceML techniques like forecasting, regression, classification, anomaly detection, image object detection, text classification, text generation, root cause analysis, timeseries modellingSet-up and use of vector databases
  • 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
  • English language proficiency B2 or above. German language skills would be beneficial but not essential
  •  
  • Nice to have skills will cover:
  • Strong mathematical and statistical skillsSQL, Big Data infrastructureMLOps principles and frameworks
  • SQL, Big Data infrastructure
  • MLOps principles and frameworks
  • Databases: e.g., Qdrant Vector Db, PostgreSQL
  • Docker, Kubernetes, Linux, RESTful APIs
  • Experience with GCP
  • Radio access networks (RAN) including their system components, features, parameters and counters

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
  • employee referral program
  • charity initiatives
  • extra leave
  • Benefit Platform

  • Praca Warszawa
  • Warszawa - Oferty pracy w okolicznych lokalizacjach


    107 980
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