MLOps Engineer — Cloud ML Pipelines & Global Impact

EPAM Systems; México; À distance; MXN 450 000 - 700 000; Plein temps

Avantages offerts par ce poste

Healthcare benefits

Paid time off

Learning & development

Global career opportunities

Volunteer opportunities

Résumé du poste

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.

Qualifications

• 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.

Responsabilités

• 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.

Connaissances

Python

Google Vertex AI

ML pipelines

Monitoring ML models

Jenkins

Docker

Kubernetes

Groovy

JetBrains PyCharm

Outils

Kubeflow

Ansible

Terraform

Google Agent SDKs

Description du poste

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.