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You will focus on platform and operations work, including infrastructure, MLOps pipelines, observability, security, and cost management.\nThe Passenger Experience Platform supports smarter and more reliable customer and commercial experiences through data and AI solutions. The team builds and serves ML and GenAI solutions on Google Cloud Platform using a containerized and infrastructure as code foundation, with AI assisted development as part of the daily workflow.\nDesign, deploy, and operate ML and GenAI services end to end\nBuild and maintain MLOps pipelines and CI/CD standards for data and AI workloads\nEnable the Data and AI platform to be reliable, scalable, and consumable across business domains\nOwn environment and product infrastructure using Terraform on Google Cloud Platform\nInstrument observability and monitoring for models, pipelines, and services\nApply security, IAM, governance, and cost optimization practices across data and AI\nUse AI assisted development to accelerate and improve delivery\n4 plus years of experience in MLE, ML platform engineering, AI Ops engineering, or a closely related role\nStrong Python skills for services and data work using Pandas and FastAPI\nHands on experience with MLOps across model deployment, model registry, serving, and monitoring\nExperience with GenAI engineering using LangChain, agents, MCP, vector databases, and response caching\nExperience with containerization and orchestration using Docker and Kubernetes\nExperience with infrastructure as code using Terraform and CI/CD pipelines for data and AI\nCloud experience on Google Cloud Platform with BigQuery for analytical workloads\nFluency in Spanish and intermediate English for documentation and international collaboration\nExperience with observability tooling such as Prometheus, Grafana, or Datadog\nKnowledge of data platform fundamentals including pipeline orchestration, lakehouse or warehouse concepts, and SQL transformations\nKnowledge of security, IAM, and data governance practices\nStrong critical thinking, communication, and collaboration in cross functional 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