Production-level Python (clean code, typing, tests, solid architecture)., At least one commercially deployed ML project., Strong knowledge of:, Pandas, Numpy,, scikit-learn,, at least one DL framework (PyTorch or TensorFlow)., Ability to run the full ML lifecycle:, Data analysis → Modelling → Deployment → Monitoring basic metrics., SQL knowledge sufficient for analytics and basic transformations., Basic familiarity with cloud (AWS/GCP/Azure)., Experience with CV or time series forecasting., Basic MLOps (Docker, MLflow, Airflow, DVC)., Basic LLM/RAG knowledge., Vector databases, HF, Wandb.

sharing the costs of sports activities, private medical care, life insurance, remote work opportunities, flexible working time, corporate products and services at discounted prices, integration events, no dress code, video games at work, coffee / tea, drinks, parking space for employees, leisure zone