Twój zakres obowiązków

Design and deliver advanced models (regression, classification, clustering)
Lead end-to-end solutions, including deep learning and reinforcement learning
Drive feature engineering and model optimization
Ensure high-quality data processing and apply advanced techniques (e.g., Monte Carlo, SHAP)
Lead complex, statistics-driven projects
Build and scale Python-based solutions (incl. notebook environments)
Automate workflows in Linux (shell scripting, Git)
Design robust software architectures (functional & object-oriented)
Work with SQL/NoSQL databases and optimize performance
Fine-tune and deploy LLMs for business use cases
Develop LLM-based applications (e.g., copilots, chatbots, summarization tools)
Integrate AI solutions with enterprise systems and APIs
Apply advanced prompt engineering techniques
Evaluate and optimize model outputs (human-in-the-loop & automated methods)

Nasze wymagania

Master’s degree (or equivalent) in Statistics, Mathematics, Computer Science, or related field
3–5 years of experience in Data Science
Proven ability to work independently, solve problems, and mentor others
Strong expertise in ML/AI (incl. LLMs, GenAI, neural networks, forecasting, etc.)
Advanced Python skills and experience with key libraries (pandas, numpy, scikit-learn)
Experience with ML frameworks (e.g., TensorFlow, PyTorch, Keras, MLflow)
Solid knowledge of SQL, data modeling, and software design principles
Hands-on experience with cloud platforms (AWS/Azure/GCP), Docker, Git, CI/CD
Understanding of GDPR, IT security, and ethical AI
Strong communication skills, proactive mindset, and team orientation
Fluent English, very good Polish language skills
Experience working in Agile/DevOps environments

Employment contract
Hybrid work model (3 days a week from the office) and a very good office location (Rondo ONZ 1)
Medical package (full specialist package with dentistry)
Health Academy
Multicafeteria - everyone will find something for themselves ☺
Lunch card