Minimum 8+ years" experience in machine learning engineering or related roles, Strong proficiency in Python and modern machine learning frameworks (TensorFlow, PyTorch, Scikit-learn), Hands-on experience with MLflow for model lifecycle management in production environments, Solid understanding of MLOps principles, including CI/CD, containerization, and orchestration, Experience deploying and operating ML workloads on cloud platforms (AWS, Azure, or GCP), Good knowledge of data engineering concepts and tools such as Spark and Airflow, Strong problem-solving skills and ability to work in complex, distributed environments, Excellent verbal and written communication skills in English

sharing the costs of sports activities, private medical care, sharing the costs of professional training & courses, life insurance, remote work opportunities, flexible working time, integration events, dental care, no dress code, extra social benefits