Senior MLOps Platform Engineer

EPAM Systems; México; Remote; MXN 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

LinkedIn Learning access

Global career opportunities

Volunteer opportunities

Job summary

EPAM Systems in Mexico is seeking a Senior MLOps Platform Engineer to drive end-to-end cloud migration and scalable ML pipelines for a large real estate analytics platform.

You will translate business goals into ML problems, build data solutions, train and monitor models in production, and collaborate with global teams while leveraging Vertex AI, Terraform, and Jenkins. Strong Python skills and English communication are required; GCP experience is a plus.

Qualifications

• 3+ years of experience in cloud infrastructure.
• Strong proficiency in Python.
• Experience with Google Vertex AI and Vertex AI Pipelines.

Responsibilities

• Migrate systems to the cloud and optimize costs.
• Translate business goals into ML problems and build end-to-end ML solutions.
• Prepare and process data to enable model training and evaluation.
• Develop and automate ML pipelines for production deployment.
• Monitor and fine-tune models post-deployment.

Skills

Python

Vertex AI

GCP

Model monitoring

English

Terraform

Jenkins

Tools

Terraform

Jenkins

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.