Senior MLOps Platform Engineer

EPAM Systems; Brasil; Remote; BRL 180,000 - 240,000; Full time

Job summary

EPAM Systems seeks a Senior MLOps Platform Engineer to collaborate on migrating systems to the cloud and improving analytics for real estate insights. You will lead end-to-end ML delivery, build scalable data pipelines, and optimize model deployment.

You will work with global teams on Vertex AI, Terraform, and CI/CD practices to enhance time-to-market and reliability across complex property data analytics platforms.

Qualifications

• 3+ years as Cloud Infrastructure Engineer or similar role.
• Strong Python skills and ML-focused problem solving.
• Experience with Google Vertex AI and Vertex AI Pipelines.
• Familiarity with Terraform and Jenkins.

Responsibilities

• Understand ML systems lifecycle to enable end-to-end delivery.
• Translate business goals into defined ML problems.
• Create data solutions aligned with business and technical needs.

Skills

Python

MLOps

Data pipelines

Model monitoring

Cloud infrastructure

CI/CD

Tools

Terraform

Jenkins

Google Vertex AI

Vertex AI Pipelines

Job description

We're looking for a Senior MLOps Platform Engineer to collaborate with a leading company that compiles comprehensive property data and produces analytics driving informed decisions and property insights for a vast user base in real estate. In this position, you'll contribute to migrating systems to the cloud, which will optimize costs, boost availability and reliability via architectural upgrades, and strengthen analytics and time-to-market.ResponsibilitiesGrasp the ML systems lifecycle to enable complete end-to-end deliveryTranslate business goals into well-defined ML problemsCreate data solutions that align with both business and technical needsManage data preparation and processing to get models readySpearhead model training and experimentation initiativesConstruct and automate ML pipelinesLaunch models into the production environmentTrack, fine-tune, and sustain models after deploymentRequirementsMinimum 3 years working as a Cloud Infrastructure Engineer or in a comparable positionStrong command of PythonDeep knowledge of Google Vertex AI and Google Vertex AI PipelinesExperience working with Terraform and JenkinsPrior exposure to ML model monitoringGCP knowledge is a plusB2-level English or aboveWe 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.