MLOps Platform Engineer | Cloud & Vertex AI Specialist

EPAM Systems; México; Remote; MXN 600,000 - 900,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off and sick leave

Upskilling, reskilling and cert.

LinkedIn Learning access

Job summary

EPAM Systems is seeking an MLOps Platform Engineer to help transform ML systems to the cloud, optimize costs, and improve availability and reliability for data-driven insights in real estate analytics. You will work on end-to-end ML lifecycle tasks, from problem framing and data prep to deployment and post-production monitoring.

The role emphasizes Google Vertex AI, Vertex AI Pipelines, and infrastructure as code with Terraform and CI/CD with Jenkins, collaborating with global teams.

Qualifications

• 2+ years of experience in cloud infrastructure or similar roles.
• Proficiency in Python.
• Experience with Google Vertex AI and Vertex AI Pipelines.

Responsibilities

• Understand the ML systems lifecycle to support end-to-end delivery.
• Frame ML problems from business objectives.
• Develop data solutions tailored to business needs 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 production systems.
• Monitor, optimize, and maintain models post-deployment.

Skills

Python

ML lifecycle understanding

English communication

Tools

Google Vertex AI

Vertex AI Pipelines

Terraform

Jenkins

GCP

Job description

EPAM Systems is seeking an MLOps Platform Engineer to help transform ML systems to the cloud, optimize costs, and improve availability and reliability for data-driven insights in real estate analytics. You will work on end-to-end ML lifecycle tasks, from problem framing and data prep to deployment and post-production monitoring.

The role emphasizes Google Vertex AI, Vertex AI Pipelines, and infrastructure as code with Terraform and CI/CD with Jenkins, collaborating with global teams.