Minimum 5 years in DevOps, MLOps or infrastructure engineering with at least 2 years focused on AI/ML systems, Experience with MLflow, Kubeflow, Airflow or similar platforms, Strong Python skills, Strong expertise in AWS, Azure or GCP with hands-on experience in their ML services, Proficiency with Docker or Kubernetes, Familiarity with Data Governance and Data Security principles within ML pipelines, CI/CD: Expertise in Jenkins, GitLab CI, GitHub Actions or similar tools, Monitoring: Experience with Prometheus, Grafana, ELK stack or similar monitoring solutions, Strong analytical skills with the ability to debug complex systems

Benefit Platform , sharing the costs of sports activities, private medical care, sharing the costs of foreign language classes, sharing the costs of professional training & courses, life insurance, flexible working time, corporate products and services at discounted prices, integration events, mobile phone available for private use, no dress code, parking space for employees, extra social benefits, sharing the costs of tickets to the movies, theater, holiday funds, birthday celebration, sharing the costs of a streaming platform subscription, employee referral program, charity initiatives, extra leave