(Summary generated by AI based on the full job description)
The project focuses on production-grade AI and MLOps platforms. Key technologies include Python, Azure, AWS, GCP, Docker, Kubernetes, and CI/CD. Responsibilities cover designing and implementing scalable ML pipelines, automating data workflows, integrating AI models into applications, monitoring performance, and ensuring AI services security. The engineer collaborates closely with Data Scientists and DevOps.

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