Details.
Drive advanced AI with robust multi-cloud data strategies. Essentials include 3+ years in DataOps, data engineering, or data science, a strong Azure focus with working knowledge of AWS and GCP, and proficiency in Python, containerization with Kubernetes, and CI/CD. MLOps expertise for AI/ML model deployments and familiarity with infrastructure as code, such as Terraform, are preferable.