Bachelor's or Master's degree in Mathematics, Computer Science, Machine Learning, or related field., Mastery over Data Science frameworks (pandas, pyspark, sklearn and shap) and MLOPS frameworks (MLFlow, Kedro/Airflow, Hyperopt/Optuna and Great Expectations) in Python., Experience with building GenAI agentic workflows using Langchain or smolagents., Basic familiarity with Dashboarding tools (PowerBI/Tableau)., Strong understanding of DevOps methodologies (CI/CD) and experience implementing Github Actions (or similar) workflows., Experience with serving models with APIs using Flask or FastAPI., Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes)., Extremely high attention to detail and rigor.

sharing the costs of sports activities, private medical care, sharing the costs of foreign language classes, sharing the costs of professional training & courses, remote work opportunities, flexible working time, fruits, integration events, corporate gym, corporate sports team, no dress code, video games at work, coffee / tea, drinks, parking space for employees, leisure zone, sharing the commuting costs, employee referral program