(Summary generated by AI based on the full job description)
Project focused on AI/ML deployments within IT/OT, R&D and business development. Work involves large datasets and building/maintaining ETL and data pipelines. Key technologies include Python, Docker, Kubernetes, GCP and Azure, and orchestration tools like Apache Airflow/Kubeflow. Responsibilities cover scripting production-ready code, designing and automating DevOps/ML-Ops, model deployment and monitoring, optimizing GPU/CPU usage, and leading workshops and talks. Benefits: life insurance, integration events.




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