Senior MLOps Engineer (Python & Google Vertex AI)

We are looking for a Senior MLOps Engineer with strong expertise in Python and Google Vertex AI to join our team and streamline the process of deploying, maintaining, and monitoring machine learning models at scale. You will collaborate with cross-functional teams to migrate systems to the cloud, optimize costs, and enhance system reliability while leveraging advanced AI concepts like Generative AI or Agentic AI to drive innovation. ResponsibilitiesDesign and implement ML systems lifecycle from problem framing to deploymentCollaborate with business stakeholders to translate objectives into ML solutionsDevelop and automate data and ML pipelines for production useOrchestrate data preparation workflows using Kubeflow or AirflowDeploy, monitor, optimize, and maintain machine learning models in productionUtilize Google Vertex AI pipelines to streamline MLOps processesDevelop infrastructure as code for reproducible cloud environmentsEnsure the reliability, availability, and scalability of deployed models and systemsTroubleshoot and resolve issues in deployed ML systemsBuild robust monitoring frameworks for real-time model performance evaluation Requirements3+ years of experience with MLOps workflows and practicesKnowledge of Google Cloud PlatformExpertise in Google Vertex AI and Google Vertex AI pipelinesStrong understanding of MLOps practicesProficiency in PythonExperience with TerraformExperience with scripting languages like PowerShellKnowledge of monitoring and maintaining ML models in production environmentsBackground in designing and orchestrating data pipelines using technologies such as Kubeflow or AirflowMinimum English language level of B1+ Nice to haveFamiliarity with Generative AI fundamentals and applicationsKnowledge of Google Cloud DataflowSkills in Groovy, Jenkins, and Poetry We offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn