We are looking for a passionate MLOps Engineer to help the Search Experience Team turn massive datasets into seamless customer journeys. Responsibilities Build tools for automation around ML workflows orchestration and model deployments using CI/CD workflows. Automate infrastructure deployments and tool configurations using Terraform or similar IaC tools. Write clean, maintainable code in Python, Go, and other object‑oriented programming languages such as Java. Troubleshoot and resolve issues related to ML workflow deployments. Generate and maintain operational reporting pipelines through tools such as BigQuery, Looker, and Tableau. Collaborate with data scientists to improve developer workflows and ensure seamless integration with tools. Help manage the infrastructure that powers millions of queries, directly impacting how global customers discover what they love. Qualifications 4‑5 years of experience in MLOps, DevOps, or a related role. Hands‑on experience with Vertex AI or other similar platforms such as Amazon SageMaker. Understanding of different models and their deployment, monitoring, and scaling in a production environment. Proficiency in Python. Basic knowledge of reporting tools such as Tableau, Looker, and BigQuery (SQL). Experience with e‑commerce, including general digital e‑commerce concepts. Experience with Kubernetes or other containerized orchestration platforms. Basic knowledge of cloud technologies (e.g., AWS, GCP). Familiarity with security best practices in cloud and containerized environments. Ability to write unit tests, integration tests, and provide clean, reusable code. Passion for utilizing GenAI to reduce manual processes. #J-18808-Ljbffr