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Form of Employment: Contract of Employment} Location: Warszawa, Hybrid work model Have you ever asked yourself whether you'd rather work in a big-tech, software house or startup? At home or in the office? In international teams or polish? At T Hub, there's one answer - YES! T Hub Poland is a dynamic, forward-thinking division in T-Mobile Poland, where technology matters! It’s a place where best talents converge to ideate, prototype, and implement cutting-edge solutions in international projects held in Deutsche Telekom Group.
What tasks await you?
Be a strong communicator able to work with customers to set goals, identify risks, report progress, and seek feedback.
Have several years’ experience delivering successful projects in your field
Prepare and analyse 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
Enjoy working in an enriching international environment with a good work-life balance and opportunities to travel
Have reached English language proficiency B2 or above. German language skills would be beneficial but not essential
What skills will be appreciated?
Essential skills will cover:
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
Set-up of RAG pipelines
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)
Development and deployment of software solutions incorporating specific AI or ML-based models and techniques
Excellent coding ability in Python
Data handling techniques in e.g. Pandas, Num Py etc.
Nice to have skills will cover:
Strong mathematical and statistical skills
SQL, Big Data infrastructure
MLOps principles and frameworks
You should have knowledge in:
AI/ML algorithms, libraries, techniques, pipelines, and architectures
Familiarization with one of Py Torch and Tensor Flow
Exploratory Data Analysis
Software design & development techniques incl. clean code, reviews, testing and deployment
Gitlab repositories and pipelines
Other useful knowledge covering:
Databases: e.g., Qdrant Vector Db, Postgre SQL
Docker, Kubernetes, Linux, RESTful APIs
Experience with GCP, Azure or AWS
Radio access networks (RAN) including their system components, features, parameters and counters
Our offer for you
Working at T Hub will offer you an unique and highly rewarding experience on IT market. As a leader in the telecommunications industry, we do not only provide a platform to hone your technical skills but also empower you to be a catalyst for innovation. You'll have the opportunity to work at the forefront of modern technologies, from 5G to Io T and AI, shaping the future of connectivity.
Benefits
No dress code
you can just be yourself here
Medical,
sport and life insurance
packages at preferential terms
Access to: Percipio, Coursera, Rodos learning platforms
Access to our products and
services at preferential terms
Employment contract-based cooperation
Know Talent - receive training
or financial bonus for
recommending new
employees
What will your recruitment process be like?
A fair approach to all people who want to join T Hub means that:
The recruitment process is transparent;
Our recruitment decision is based solely on an assessment of your skills (your race, skin color, sexual orientation, gender identity, origin, disability, political view, appearance, or religion will not have any influence on yhe outcome of the process);
Regardless of the outcome of the process, you will get detailed feedback.
Who are we?
We're one of the four European technological hubs of the Deutsche Telekom group, to which T-Mobile belongs. Thanks to this, you have the opportunity to work on global projects as well as collaborate with business partners from various industries. Whether it's automotive, security, banking, or countless other options - be sure to explore them all!
We regret to inform you that this job opportunity is no longer available