Senior MLOps Platform Engineer

EPAM Systems; Colombia; Remote; COP 381,934,000 - 572,902,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Learning and certification resources

Global career opportunities

Job summary

EPAM Systems seeks a Senior MLOps Platform Engineer to collaborate with a leading real estate data analytics provider. You will migrate systems to the cloud, optimize costs, and enhance availability and reliability through architectural upgrades.

Responsibilities include end-to-end ML lifecycle delivery, translating business goals into ML problems, building data solutions, automating pipelines, and deploying and monitoring models in production.

Qualifications

• 3+ years working as a Cloud Infrastructure Engineer or in a comparable position.
• Strong command of Python.
• Deep knowledge of Google Vertex AI and Vertex AI Pipelines.
• Experience working with Terraform and Jenkins.
• Prior exposure to ML model monitoring.
• GCP knowledge is a plus.
• B2-level English or above.

Responsibilities

• Migrate systems to the cloud to optimize costs and improve availability and reliability.
• Translate business goals into well-defined ML problems.
• Create data solutions that align with business and technical needs.
• Manage data preparation and processing to prepare models for training.
• Lead model training and experimentation initiatives.
• Construct and automate ML pipelines.
• Launch models into production environments.
• Track, tune, and sustain models after deployment.

Skills

Python

English (B2+)

Cloud infrastructure

Tools

Google Vertex AI

Vertex AI Pipelines

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.