Production-level Python (PEP8, clean architecture, maintainable code)., At least one commercially deployed AI/ML project (no course projects)., Strong knowledge of:, LLMs, RAG, HuggingFace / PyTorch (or TensorFlow), Ability to build end-to-end applications: API, pipeline, monitoring, validation., Basic MLOps knowledge (Docker, logging, basic automation, clean environments)., Proficiency in at least one cloud (AWS/GCP/Azure) and willingness to learn others when needed., Ability to communicate with clients at a normal, technical, no-nonsense level., Experience with vision computing or classical ML., Knowledge of vector DBs (Weaviate, Qdrant, Pinecone)., MLflow / Airflow / DVC / wandb., Any level of CI/CD experience..

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, corporate library, no dress code, video games at work, coffee / tea, drinks, parking space for employees, leisure zone