MLOps Engineer

EPAM Systems; México; Remoto; MXN 450.000 - 700.000; Tempo pieno

Vantaggi offerti da questo lavoro

Healthcare benefits

Paid time off

Learning & development

Global career opportunities

Volunteer opportunities

Descrizione del lavoro

EPAM Systems is seeking an MLOps Engineer to help move ML systems to the cloud, optimize costs, and improve reliability for a real estate analytics platform used by hundreds of thousands of users.

You will streamline taking ML models to production, maintain pipelines, and monitor models in production while collaborating with global teams and leveraging tools like Vertex AI, Jenkins, and Docker.

Competenze

• 2+ years in an MLOps or similar role.
• Proficiency in Python.
• Expertise in Google Vertex AI and Vertex AI Pipelines.
• Skills in monitoring ML models in production.
• Familiarity with Jenkins and Docker.
• English proficiency at B1+ level.

Mansioni

• Understand and manage the ML systems lifecycle.
• Frame ML problems based on business objectives.
• Design data solutions tailored to the problem.
• Perform data preparation and processing.
• Conduct model training and experimentation.
• Build and automate ML pipelines.
• Deploy models to the production system.
• Monitor, optimize, and maintain models in production.

Conoscenze

Python

Google Vertex AI

ML pipelines

Monitoring ML models

Jenkins

Docker

Kubernetes

Groovy

JetBrains PyCharm

Strumenti

Kubeflow

Ansible

Terraform

Google Agent SDKs

Descrizione del lavoro

We are seeking an MLOps Engineer to join a major company that aggregates broad and deep property data and generates analytics informing smart decision-making and property-level insights relied upon by hundreds of thousands of users in the real estate industry.In this role, you will help transform systems to the cloud, enabling cost optimization, improved availability and reliability through architectural improvements, and enhanced analytics with better TTM. You will focus on streamlining the process of taking machine learning models to production, as well as maintaining and monitoring them.ResponsibilitiesUnderstand and manage the ML systems lifecycleFrame ML problems based on business objectivesDesign data solutions tailored to the problem at handPerform data preparation and processingConduct model training and experimentationBuild and automate ML pipelinesDeploy models to the production systemMonitor, optimize, and maintain models in productionRequirements2+ years of experience in an MLOps or similar roleProficiency in PythonExpertise in Google Vertex AI and Google Vertex AI PipelinesSkills in monitoring ML models in productionFamiliarity with Jenkins and DockerEnglish proficiency at B1+ level or aboveNice to haveBackground in AI Solution Engineering and Prompt EngineeringKnowledge of Agentic SDKs and Google Agent Development KitExperience with Google Cloud Platform, Ansible, and TerraformFamiliarity with Kubeflow and KubernetesProficiency in Groovy and JetBrains PyCharmWe 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.