We are seeking an MLOps Platform Engineer to work with a major company that aggregates broad and deep property data and generates analytics that inform smart decision-making and property-level insights for hundreds of thousands of users in the real estate industry. This role will help transform systems to the cloud, enabling cost optimization, improved availability and reliability through architectural improvements, and enhanced analytics and TTM.ResponsibilitiesUnderstand the ML systems lifecycle to support end-to-end deliveryFrame ML problems from business objectivesDevelop data solutions tailored to business and technical requirementsHandle data preparation and processing for model readinessLead model training and experimentation effortsBuild and automate ML pipelinesDeploy models to the production systemMonitor, optimize,



and maintain models post-deploymentRequirements2+ years of experience as a Cloud Infrastructure Engineer or similar roleProficiency in PythonExpertise in Google Vertex AI and Google Vertex AI PipelinesFamiliarity with Terraform and JenkinsBackground in monitoring ML modelsKnowledge of GCP is preferableEnglish proficiency at B2 level or higherWe offerInternational projects with top brandsWork with integral 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 LinkedInEPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.
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📌 MLOps Platform Engineer (México)
🏢 Epam Systems
📍 México