MLOps Platform Engineer

EPAM Systems; Brasil; Remote; BRL 180,000 - 300,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off & sick leave

Upskilling & certification courses

LinkedIn Learning access

Global career opportunities

Volunteer opportunities

Job summary

EPAM Systems seeks an MLOps Platform Engineer to transform systems to the cloud, optimize costs, and improve availability with robust ML pipelines and analytics for real estate data platforms. You will work on end-to-end ML delivery, frame business-aligned ML problems, and deploy production-grade models.

The role requires hands-on experience in Python, Google Vertex AI, Terraform, and Jenkins, with strong cloud and monitoring capabilities. International teams and growth opportunities are offered.

Qualifications

• 2+ years of experience in Cloud Infrastructure Engineering or similar role.
• Proficiency in Python.
• Expertise in Google Vertex AI and Vertex AI Pipelines.
• Familiarity with Terraform and Jenkins.
• Background in monitoring ML models.
• Knowledge of GCP is preferable.

Responsibilities

• Understand the ML systems lifecycle to support end-to-end delivery.
• Frame ML problems from business objectives.
• Develop data solutions tailored to business and technical requirements.
• Handle data preparation and processing for model readiness.
• Lead model training and experimentation efforts.
• Build and automate ML pipelines.
• Deploy models to the production system.
• Monitor, optimize, and maintain models post-deployment.

Skills

Python

MLOps

Cloud infrastructure

Google Vertex AI

Tools

Google Vertex AI Pipelines

Terraform

Jenkins

Job description

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 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 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.